[2025-05-28T22:08:11.610Z] Running test renaissance-movie-lens_0 ... [2025-05-28T22:08:11.610Z] =============================================== [2025-05-28T22:08:11.610Z] renaissance-movie-lens_0 Start Time: Wed May 28 15:08:11 2025 Epoch Time (ms): 1748470091239 [2025-05-28T22:08:11.610Z] variation: NoOptions [2025-05-28T22:08:11.610Z] JVM_OPTIONS: [2025-05-28T22:08:11.610Z] { \ [2025-05-28T22:08:11.610Z] echo ""; echo "TEST SETUP:"; \ [2025-05-28T22:08:11.610Z] echo "Nothing to be done for setup."; \ [2025-05-28T22:08:11.610Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17484668972134/renaissance-movie-lens_0"; \ [2025-05-28T22:08:11.610Z] cd "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17484668972134/renaissance-movie-lens_0"; \ [2025-05-28T22:08:11.610Z] echo ""; echo "TESTING:"; \ [2025-05-28T22:08:11.610Z] "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17484668972134/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-05-28T22:08:11.611Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17484668972134/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-05-28T22:08:11.611Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-05-28T22:08:11.611Z] echo "Nothing to be done for teardown."; \ [2025-05-28T22:08:11.611Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17484668972134/TestTargetResult"; [2025-05-28T22:08:11.611Z] [2025-05-28T22:08:11.611Z] TEST SETUP: [2025-05-28T22:08:11.611Z] Nothing to be done for setup. [2025-05-28T22:08:11.611Z] [2025-05-28T22:08:11.611Z] TESTING: [2025-05-28T22:08:25.995Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-05-28T22:08:43.247Z] 15:08:41.231 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1866 KiB). The maximum recommended task size is 1000 KiB. [2025-05-28T22:08:47.780Z] Got 100004 ratings from 671 users on 9066 movies. [2025-05-28T22:08:49.230Z] Training: 60056, validation: 20285, test: 19854 [2025-05-28T22:08:49.230Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-05-28T22:08:49.230Z] GC before operation: completed in 318.295 ms, heap usage 308.168 MB -> 75.474 MB. [2025-05-28T22:09:10.304Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-28T22:09:24.905Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-28T22:09:37.581Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-28T22:09:49.719Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-28T22:09:55.439Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-28T22:10:02.709Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-28T22:10:09.677Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-28T22:10:14.429Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-28T22:10:15.438Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-28T22:10:15.950Z] The best model improves the baseline by 14.52%. [2025-05-28T22:10:16.874Z] Top recommended movies for user id 72: [2025-05-28T22:10:16.874Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-28T22:10:16.874Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-28T22:10:16.874Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-28T22:10:16.874Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-28T22:10:16.874Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-28T22:10:16.874Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (87287.656 ms) ====== [2025-05-28T22:10:16.874Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-05-28T22:10:16.874Z] GC before operation: completed in 302.132 ms, heap usage 219.315 MB -> 87.874 MB. [2025-05-28T22:10:27.202Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-28T22:10:39.163Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-28T22:10:51.605Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-28T22:11:00.436Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-28T22:11:06.295Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-28T22:11:13.009Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-28T22:11:18.650Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-28T22:11:24.207Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-28T22:11:25.591Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-28T22:11:25.591Z] The best model improves the baseline by 14.52%. [2025-05-28T22:11:25.996Z] Top recommended movies for user id 72: [2025-05-28T22:11:25.996Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-28T22:11:25.996Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-28T22:11:25.997Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-28T22:11:25.997Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-28T22:11:25.997Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-28T22:11:25.997Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (68894.748 ms) ====== [2025-05-28T22:11:25.997Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-05-28T22:11:26.380Z] GC before operation: completed in 312.492 ms, heap usage 358.408 MB -> 88.113 MB. [2025-05-28T22:11:38.543Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-28T22:11:46.747Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-28T22:11:56.713Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-28T22:12:07.128Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-28T22:12:14.010Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-28T22:12:18.674Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-28T22:12:24.430Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-28T22:12:31.044Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-28T22:12:31.472Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-28T22:12:31.878Z] The best model improves the baseline by 14.52%. [2025-05-28T22:12:32.269Z] Top recommended movies for user id 72: [2025-05-28T22:12:32.269Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-28T22:12:32.269Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-28T22:12:32.269Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-28T22:12:32.269Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-28T22:12:32.269Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-28T22:12:32.269Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (66031.023 ms) ====== [2025-05-28T22:12:32.269Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-05-28T22:12:32.654Z] GC before operation: completed in 218.558 ms, heap usage 250.492 MB -> 88.663 MB. [2025-05-28T22:12:44.869Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-28T22:12:54.852Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-28T22:13:06.004Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-28T22:13:17.868Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-28T22:13:23.469Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-28T22:13:29.021Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-28T22:13:35.626Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-28T22:13:41.174Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-28T22:13:41.988Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-28T22:13:41.988Z] The best model improves the baseline by 14.52%. [2025-05-28T22:13:42.892Z] Top recommended movies for user id 72: [2025-05-28T22:13:42.892Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-28T22:13:42.892Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-28T22:13:42.892Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-28T22:13:42.892Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-28T22:13:42.892Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-28T22:13:42.892Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (70125.350 ms) ====== [2025-05-28T22:13:42.892Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-05-28T22:13:42.892Z] GC before operation: completed in 299.849 ms, heap usage 205.657 MB -> 88.792 MB. [2025-05-28T22:13:54.888Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-28T22:14:03.207Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-28T22:14:13.322Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-28T22:14:23.268Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-28T22:14:29.904Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-28T22:14:35.271Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-28T22:14:42.267Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-28T22:14:46.655Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-28T22:14:48.207Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-28T22:14:48.207Z] The best model improves the baseline by 14.52%. [2025-05-28T22:14:48.207Z] Top recommended movies for user id 72: [2025-05-28T22:14:48.207Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-28T22:14:48.207Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-28T22:14:48.207Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-28T22:14:48.207Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-28T22:14:48.207Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-28T22:14:48.207Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (65217.832 ms) ====== [2025-05-28T22:14:48.207Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-05-28T22:14:48.656Z] GC before operation: completed in 320.211 ms, heap usage 428.522 MB -> 89.112 MB. [2025-05-28T22:15:00.581Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-28T22:15:09.095Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-28T22:15:18.787Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-28T22:15:26.911Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-28T22:15:32.568Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-28T22:15:37.956Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-28T22:15:44.660Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-28T22:15:50.088Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-28T22:15:50.942Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-28T22:15:50.942Z] The best model improves the baseline by 14.52%. [2025-05-28T22:15:52.382Z] Top recommended movies for user id 72: [2025-05-28T22:15:52.382Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-28T22:15:52.382Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-28T22:15:52.382Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-28T22:15:52.382Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-28T22:15:52.382Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-28T22:15:52.382Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (63976.876 ms) ====== [2025-05-28T22:15:52.382Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-05-28T22:15:52.758Z] GC before operation: completed in 283.203 ms, heap usage 174.027 MB -> 89.082 MB. [2025-05-28T22:16:05.015Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-28T22:16:13.145Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-28T22:16:24.866Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-28T22:16:33.007Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-28T22:16:41.331Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-28T22:16:46.831Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-28T22:16:55.261Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-28T22:17:00.733Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-28T22:17:01.160Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-28T22:17:01.160Z] The best model improves the baseline by 14.52%. [2025-05-28T22:17:01.653Z] Top recommended movies for user id 72: [2025-05-28T22:17:01.653Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-28T22:17:01.653Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-28T22:17:01.653Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-28T22:17:01.653Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-28T22:17:01.653Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-28T22:17:01.653Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (68726.243 ms) ====== [2025-05-28T22:17:01.653Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-05-28T22:17:01.653Z] GC before operation: completed in 282.818 ms, heap usage 483.556 MB -> 89.532 MB. [2025-05-28T22:17:11.433Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-28T22:17:19.621Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-28T22:17:31.604Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-28T22:17:41.978Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-28T22:17:47.519Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-28T22:17:53.187Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-28T22:18:00.235Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-28T22:18:04.750Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-28T22:18:05.669Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-28T22:18:06.075Z] The best model improves the baseline by 14.52%. [2025-05-28T22:18:06.502Z] Top recommended movies for user id 72: [2025-05-28T22:18:06.502Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-28T22:18:06.502Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-28T22:18:06.502Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-28T22:18:06.502Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-28T22:18:06.502Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-28T22:18:06.502Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (64775.777 ms) ====== [2025-05-28T22:18:06.502Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-05-28T22:18:06.887Z] GC before operation: completed in 339.939 ms, heap usage 305.113 MB -> 89.502 MB. [2025-05-28T22:18:16.925Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-28T22:18:24.895Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-28T22:18:33.128Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-28T22:18:42.840Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-28T22:18:48.211Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-28T22:18:53.580Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-28T22:19:00.182Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-28T22:19:04.720Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-28T22:19:06.244Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-28T22:19:06.244Z] The best model improves the baseline by 14.52%. [2025-05-28T22:19:06.244Z] Top recommended movies for user id 72: [2025-05-28T22:19:06.244Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-28T22:19:06.244Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-28T22:19:06.244Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-28T22:19:06.244Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-28T22:19:06.244Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-28T22:19:06.244Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (59376.716 ms) ====== [2025-05-28T22:19:06.244Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-05-28T22:19:06.685Z] GC before operation: completed in 332.846 ms, heap usage 664.398 MB -> 93.158 MB. [2025-05-28T22:19:16.831Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-28T22:19:28.744Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-28T22:19:37.180Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-28T22:19:47.195Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-28T22:19:51.905Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-28T22:19:56.673Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-28T22:20:02.117Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-28T22:20:07.745Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-28T22:20:08.207Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-28T22:20:08.207Z] The best model improves the baseline by 14.52%. [2025-05-28T22:20:08.643Z] Top recommended movies for user id 72: [2025-05-28T22:20:08.643Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-28T22:20:08.643Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-28T22:20:08.643Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-28T22:20:08.643Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-28T22:20:08.643Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-28T22:20:08.643Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (62092.498 ms) ====== [2025-05-28T22:20:08.643Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-05-28T22:20:09.131Z] GC before operation: completed in 286.908 ms, heap usage 1.252 GB -> 95.354 MB. [2025-05-28T22:20:19.337Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-28T22:20:29.412Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-28T22:20:39.308Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-28T22:20:49.286Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-28T22:20:54.906Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-28T22:21:00.347Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-28T22:21:07.026Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-28T22:21:12.382Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-28T22:21:12.796Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-28T22:21:12.796Z] The best model improves the baseline by 14.52%. [2025-05-28T22:21:13.239Z] Top recommended movies for user id 72: [2025-05-28T22:21:13.239Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-28T22:21:13.239Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-28T22:21:13.239Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-28T22:21:13.239Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-28T22:21:13.239Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-28T22:21:13.239Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (64240.905 ms) ====== [2025-05-28T22:21:13.239Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-05-28T22:21:13.683Z] GC before operation: completed in 268.258 ms, heap usage 136.720 MB -> 92.859 MB. [2025-05-28T22:21:25.413Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-28T22:21:35.719Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-28T22:21:45.466Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-28T22:21:53.819Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-28T22:21:59.587Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-28T22:22:04.253Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-28T22:22:10.793Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-28T22:22:16.302Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-28T22:22:16.749Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-28T22:22:17.165Z] The best model improves the baseline by 14.52%. [2025-05-28T22:22:17.165Z] Top recommended movies for user id 72: [2025-05-28T22:22:17.165Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-28T22:22:17.165Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-28T22:22:17.165Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-28T22:22:17.165Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-28T22:22:17.165Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-28T22:22:17.165Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (63782.246 ms) ====== [2025-05-28T22:22:17.165Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-05-28T22:22:17.633Z] GC before operation: completed in 267.633 ms, heap usage 263.536 MB -> 89.537 MB. [2025-05-28T22:22:29.779Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-28T22:22:37.991Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-28T22:22:46.345Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-28T22:22:56.421Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-28T22:23:01.041Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-28T22:23:06.905Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-28T22:23:11.887Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-28T22:23:16.450Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-28T22:23:17.389Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-28T22:23:17.389Z] The best model improves the baseline by 14.52%. [2025-05-28T22:23:17.871Z] Top recommended movies for user id 72: [2025-05-28T22:23:17.871Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-28T22:23:17.871Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-28T22:23:17.871Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-28T22:23:17.871Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-28T22:23:17.871Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-28T22:23:17.871Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (60246.528 ms) ====== [2025-05-28T22:23:17.871Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-05-28T22:23:17.871Z] GC before operation: completed in 301.563 ms, heap usage 223.873 MB -> 89.479 MB. [2025-05-28T22:23:30.090Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-28T22:23:38.514Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-28T22:23:48.937Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-28T22:23:55.809Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-28T22:24:01.384Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-28T22:24:06.175Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-28T22:24:10.963Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-28T22:24:16.663Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-28T22:24:17.081Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-28T22:24:17.081Z] The best model improves the baseline by 14.52%. [2025-05-28T22:24:17.700Z] Top recommended movies for user id 72: [2025-05-28T22:24:17.700Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-28T22:24:17.700Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-28T22:24:17.700Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-28T22:24:17.700Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-28T22:24:17.700Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-28T22:24:17.700Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (59397.962 ms) ====== [2025-05-28T22:24:17.700Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-05-28T22:24:18.143Z] GC before operation: completed in 286.808 ms, heap usage 935.076 MB -> 94.278 MB. [2025-05-28T22:24:28.437Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-28T22:24:36.737Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-28T22:24:43.870Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-28T22:24:52.041Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-28T22:24:57.440Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-28T22:25:02.234Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-28T22:25:06.851Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-28T22:25:12.403Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-28T22:25:12.818Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-28T22:25:12.818Z] The best model improves the baseline by 14.52%. [2025-05-28T22:25:13.874Z] Top recommended movies for user id 72: [2025-05-28T22:25:13.874Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-28T22:25:13.874Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-28T22:25:13.874Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-28T22:25:13.874Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-28T22:25:13.874Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-28T22:25:13.874Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (55314.834 ms) ====== [2025-05-28T22:25:13.874Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-05-28T22:25:13.874Z] GC before operation: completed in 643.235 ms, heap usage 463.144 MB -> 90.003 MB. [2025-05-28T22:25:24.010Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-28T22:25:32.583Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-28T22:25:42.503Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-28T22:25:50.940Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-28T22:25:56.493Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-28T22:26:00.962Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-28T22:26:06.515Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-28T22:26:13.521Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-28T22:26:13.521Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-28T22:26:13.521Z] The best model improves the baseline by 14.52%. [2025-05-28T22:26:13.521Z] Top recommended movies for user id 72: [2025-05-28T22:26:13.521Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-28T22:26:13.521Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-28T22:26:13.521Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-28T22:26:13.521Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-28T22:26:13.521Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-28T22:26:13.521Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (59857.041 ms) ====== [2025-05-28T22:26:13.521Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-05-28T22:26:13.958Z] GC before operation: completed in 328.270 ms, heap usage 355.954 MB -> 89.609 MB. [2025-05-28T22:26:24.177Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-28T22:26:34.457Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-28T22:26:44.927Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-28T22:26:53.145Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-28T22:26:58.035Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-28T22:27:03.900Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-28T22:27:08.542Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-28T22:27:14.663Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-28T22:27:14.663Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-28T22:27:15.095Z] The best model improves the baseline by 14.52%. [2025-05-28T22:27:15.095Z] Top recommended movies for user id 72: [2025-05-28T22:27:15.095Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-28T22:27:15.095Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-28T22:27:15.095Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-28T22:27:15.095Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-28T22:27:15.095Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-28T22:27:15.095Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (61273.305 ms) ====== [2025-05-28T22:27:15.095Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-05-28T22:27:15.521Z] GC before operation: completed in 289.352 ms, heap usage 597.617 MB -> 93.218 MB. [2025-05-28T22:27:24.073Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-28T22:27:34.127Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-28T22:27:44.314Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-28T22:27:54.612Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-28T22:27:59.263Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-28T22:28:05.034Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-28T22:28:09.369Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-28T22:28:15.179Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-28T22:28:15.619Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-28T22:28:15.619Z] The best model improves the baseline by 14.52%. [2025-05-28T22:28:16.099Z] Top recommended movies for user id 72: [2025-05-28T22:28:16.099Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-28T22:28:16.099Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-28T22:28:16.099Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-28T22:28:16.099Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-28T22:28:16.100Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-28T22:28:16.100Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (60794.583 ms) ====== [2025-05-28T22:28:16.100Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-05-28T22:28:16.527Z] GC before operation: completed in 250.028 ms, heap usage 700.412 MB -> 93.209 MB. [2025-05-28T22:28:28.447Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-28T22:28:37.013Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-28T22:28:47.215Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-28T22:28:55.568Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-28T22:29:02.370Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-28T22:29:06.078Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-28T22:29:10.535Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-28T22:29:16.220Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-28T22:29:17.202Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-28T22:29:17.202Z] The best model improves the baseline by 14.52%. [2025-05-28T22:29:17.202Z] Top recommended movies for user id 72: [2025-05-28T22:29:17.202Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-28T22:29:17.202Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-28T22:29:17.202Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-28T22:29:17.202Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-28T22:29:17.202Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-28T22:29:17.202Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (60781.772 ms) ====== [2025-05-28T22:29:17.202Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-05-28T22:29:17.664Z] GC before operation: completed in 355.339 ms, heap usage 713.321 MB -> 93.355 MB. [2025-05-28T22:29:29.665Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-28T22:29:38.033Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-28T22:29:48.037Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-28T22:29:56.136Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-28T22:30:02.125Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-28T22:30:07.813Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-28T22:30:13.662Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-28T22:30:18.203Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-28T22:30:19.310Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-28T22:30:19.310Z] The best model improves the baseline by 14.52%. [2025-05-28T22:30:19.728Z] Top recommended movies for user id 72: [2025-05-28T22:30:19.728Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-28T22:30:19.728Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-28T22:30:19.728Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-28T22:30:19.728Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-28T22:30:19.728Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-28T22:30:19.728Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (62046.150 ms) ====== [2025-05-28T22:30:21.365Z] ----------------------------------- [2025-05-28T22:30:21.365Z] renaissance-movie-lens_0_PASSED [2025-05-28T22:30:21.365Z] ----------------------------------- [2025-05-28T22:30:21.365Z] [2025-05-28T22:30:21.365Z] TEST TEARDOWN: [2025-05-28T22:30:21.365Z] Nothing to be done for teardown. [2025-05-28T22:30:21.365Z] renaissance-movie-lens_0 Finish Time: Wed May 28 15:30:20 2025 Epoch Time (ms): 1748471420862