[2025-05-17T06:06:53.059Z] Running test renaissance-movie-lens_0 ... [2025-05-17T06:06:53.375Z] =============================================== [2025-05-17T06:06:53.375Z] renaissance-movie-lens_0 Start Time: Sat May 17 06:06:53 2025 Epoch Time (ms): 1747462013178 [2025-05-17T06:06:53.375Z] variation: NoOptions [2025-05-17T06:06:53.375Z] JVM_OPTIONS: [2025-05-17T06:06:53.375Z] { \ [2025-05-17T06:06:53.375Z] echo ""; echo "TEST SETUP:"; \ [2025-05-17T06:06:53.375Z] echo "Nothing to be done for setup."; \ [2025-05-17T06:06:53.375Z] mkdir -p "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_1747459850736\\renaissance-movie-lens_0"; \ [2025-05-17T06:06:53.375Z] cd "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_1747459850736\\renaissance-movie-lens_0"; \ [2025-05-17T06:06:53.375Z] echo ""; echo "TESTING:"; \ [2025-05-17T06:06:53.375Z] "c:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/jdkbinary/j2sdk-image\\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 "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_1747459850736\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2025-05-17T06:06:53.375Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_1747459850736\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-05-17T06:06:53.375Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-05-17T06:06:53.375Z] echo "Nothing to be done for teardown."; \ [2025-05-17T06:06:53.375Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_1747459850736\\TestTargetResult"; [2025-05-17T06:06:53.692Z] [2025-05-17T06:06:53.692Z] TEST SETUP: [2025-05-17T06:06:53.692Z] Nothing to be done for setup. [2025-05-17T06:06:53.692Z] [2025-05-17T06:06:53.692Z] TESTING: [2025-05-17T06:07:06.486Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-05-17T06:07:15.161Z] 06:07:14.139 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-05-17T06:07:16.806Z] Got 100004 ratings from 671 users on 9066 movies. [2025-05-17T06:07:17.501Z] Training: 60056, validation: 20285, test: 19854 [2025-05-17T06:07:17.501Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-05-17T06:07:17.831Z] GC before operation: completed in 163.148 ms, heap usage 273.937 MB -> 74.970 MB. [2025-05-17T06:07:30.961Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T06:07:39.698Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T06:07:48.400Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T06:07:57.034Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T06:08:00.701Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T06:08:05.336Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T06:08:10.026Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T06:08:14.616Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T06:08:15.354Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-17T06:08:15.354Z] The best model improves the baseline by 14.52%. [2025-05-17T06:08:15.671Z] Top recommended movies for user id 72: [2025-05-17T06:08:15.671Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-17T06:08:15.671Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-17T06:08:15.671Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-17T06:08:15.671Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-17T06:08:15.671Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-17T06:08:15.671Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (57881.173 ms) ====== [2025-05-17T06:08:15.671Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-05-17T06:08:15.671Z] GC before operation: completed in 168.383 ms, heap usage 353.415 MB -> 86.019 MB. [2025-05-17T06:08:24.359Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T06:08:31.427Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T06:08:40.126Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T06:08:47.199Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T06:08:51.775Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T06:08:56.457Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T06:09:02.294Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T06:09:06.005Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T06:09:06.728Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-17T06:09:06.729Z] The best model improves the baseline by 14.52%. [2025-05-17T06:09:07.068Z] Top recommended movies for user id 72: [2025-05-17T06:09:07.068Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-17T06:09:07.068Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-17T06:09:07.068Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-17T06:09:07.068Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-17T06:09:07.068Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-17T06:09:07.068Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (51179.032 ms) ====== [2025-05-17T06:09:07.068Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-05-17T06:09:07.068Z] GC before operation: completed in 166.413 ms, heap usage 198.595 MB -> 87.946 MB. [2025-05-17T06:09:15.762Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T06:09:22.839Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T06:09:31.502Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T06:09:38.544Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T06:09:42.177Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T06:09:46.780Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T06:09:51.357Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T06:09:55.008Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T06:09:55.323Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-17T06:09:55.323Z] The best model improves the baseline by 14.52%. [2025-05-17T06:09:55.642Z] Top recommended movies for user id 72: [2025-05-17T06:09:55.642Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-17T06:09:55.642Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-17T06:09:55.642Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-17T06:09:55.642Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-17T06:09:55.642Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-17T06:09:55.642Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (48575.680 ms) ====== [2025-05-17T06:09:55.642Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-05-17T06:09:55.994Z] GC before operation: completed in 150.875 ms, heap usage 200.048 MB -> 88.583 MB. [2025-05-17T06:10:03.048Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T06:10:11.743Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T06:10:18.822Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T06:10:27.481Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T06:10:31.146Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T06:10:35.781Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T06:10:40.391Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T06:10:44.977Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T06:10:44.977Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-17T06:10:44.977Z] The best model improves the baseline by 14.52%. [2025-05-17T06:10:45.344Z] Top recommended movies for user id 72: [2025-05-17T06:10:45.344Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-17T06:10:45.344Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-17T06:10:45.344Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-17T06:10:45.344Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-17T06:10:45.344Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-17T06:10:45.344Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (49352.329 ms) ====== [2025-05-17T06:10:45.344Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-05-17T06:10:45.344Z] GC before operation: completed in 159.933 ms, heap usage 248.823 MB -> 88.919 MB. [2025-05-17T06:10:54.029Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T06:11:01.110Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T06:11:08.233Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T06:11:15.335Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T06:11:19.963Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T06:11:24.648Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T06:11:29.253Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T06:11:32.908Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T06:11:33.602Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-17T06:11:33.602Z] The best model improves the baseline by 14.52%. [2025-05-17T06:11:33.967Z] Top recommended movies for user id 72: [2025-05-17T06:11:33.967Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-17T06:11:33.967Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-17T06:11:33.967Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-17T06:11:33.967Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-17T06:11:33.967Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-17T06:11:33.967Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (48468.171 ms) ====== [2025-05-17T06:11:33.967Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-05-17T06:11:33.967Z] GC before operation: completed in 152.803 ms, heap usage 222.001 MB -> 88.794 MB. [2025-05-17T06:11:42.644Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T06:11:49.682Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T06:11:56.768Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T06:12:05.404Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T06:12:08.277Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T06:12:12.869Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T06:12:17.474Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T06:12:21.090Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T06:12:21.757Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-17T06:12:21.757Z] The best model improves the baseline by 14.52%. [2025-05-17T06:12:22.076Z] Top recommended movies for user id 72: [2025-05-17T06:12:22.076Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-17T06:12:22.076Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-17T06:12:22.076Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-17T06:12:22.076Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-17T06:12:22.076Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-17T06:12:22.076Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (48139.214 ms) ====== [2025-05-17T06:12:22.076Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-05-17T06:12:22.399Z] GC before operation: completed in 169.264 ms, heap usage 178.904 MB -> 89.112 MB. [2025-05-17T06:12:29.454Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T06:12:38.116Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T06:12:45.203Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T06:12:52.231Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T06:12:56.799Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T06:13:00.420Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T06:13:05.011Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T06:13:09.637Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T06:13:09.637Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-17T06:13:09.637Z] The best model improves the baseline by 14.52%. [2025-05-17T06:13:09.954Z] Top recommended movies for user id 72: [2025-05-17T06:13:09.954Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-17T06:13:09.954Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-17T06:13:09.954Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-17T06:13:09.954Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-17T06:13:09.954Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-17T06:13:09.954Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (47608.466 ms) ====== [2025-05-17T06:13:09.954Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-05-17T06:13:09.954Z] GC before operation: completed in 149.319 ms, heap usage 165.666 MB -> 89.055 MB. [2025-05-17T06:13:17.007Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T06:13:25.706Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T06:13:32.778Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T06:13:39.839Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T06:13:44.411Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T06:13:48.073Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T06:13:53.806Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T06:13:57.438Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T06:13:57.771Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-17T06:13:57.771Z] The best model improves the baseline by 14.52%. [2025-05-17T06:13:58.138Z] Top recommended movies for user id 72: [2025-05-17T06:13:58.138Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-17T06:13:58.138Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-17T06:13:58.138Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-17T06:13:58.138Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-17T06:13:58.138Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-17T06:13:58.138Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (47948.604 ms) ====== [2025-05-17T06:13:58.138Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-05-17T06:13:58.138Z] GC before operation: completed in 155.140 ms, heap usage 164.870 MB -> 89.273 MB. [2025-05-17T06:14:05.174Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T06:14:13.810Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T06:14:20.873Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T06:14:27.941Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T06:14:32.517Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T06:14:36.147Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T06:14:40.830Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T06:14:45.419Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T06:14:45.419Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-17T06:14:45.419Z] The best model improves the baseline by 14.52%. [2025-05-17T06:14:45.746Z] Top recommended movies for user id 72: [2025-05-17T06:14:45.746Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-17T06:14:45.746Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-17T06:14:45.746Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-17T06:14:45.746Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-17T06:14:45.746Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-17T06:14:45.746Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (47658.795 ms) ====== [2025-05-17T06:14:45.746Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-05-17T06:14:46.074Z] GC before operation: completed in 149.952 ms, heap usage 164.961 MB -> 89.132 MB. [2025-05-17T06:14:53.122Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T06:15:01.779Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T06:15:08.833Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T06:15:15.892Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T06:15:20.481Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T06:15:24.105Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T06:15:28.674Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T06:15:33.266Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T06:15:33.266Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-17T06:15:33.266Z] The best model improves the baseline by 14.52%. [2025-05-17T06:15:33.628Z] Top recommended movies for user id 72: [2025-05-17T06:15:33.628Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-17T06:15:33.628Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-17T06:15:33.628Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-17T06:15:33.628Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-17T06:15:33.628Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-17T06:15:33.628Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (47750.906 ms) ====== [2025-05-17T06:15:33.628Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-05-17T06:15:33.944Z] GC before operation: completed in 147.560 ms, heap usage 169.389 MB -> 89.328 MB. [2025-05-17T06:15:42.603Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T06:15:49.657Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T06:15:56.752Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T06:16:03.805Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T06:16:08.378Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T06:16:12.952Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T06:16:17.505Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T06:16:21.211Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T06:16:21.532Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-17T06:16:21.532Z] The best model improves the baseline by 14.52%. [2025-05-17T06:16:21.909Z] Top recommended movies for user id 72: [2025-05-17T06:16:21.909Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-17T06:16:21.909Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-17T06:16:21.909Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-17T06:16:21.909Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-17T06:16:21.909Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-17T06:16:21.909Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (48125.471 ms) ====== [2025-05-17T06:16:21.909Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-05-17T06:16:22.240Z] GC before operation: completed in 153.751 ms, heap usage 201.438 MB -> 89.056 MB. [2025-05-17T06:16:29.300Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T06:16:37.960Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T06:16:45.005Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T06:16:52.047Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T06:16:56.626Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T06:17:00.246Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T06:17:05.957Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T06:17:09.618Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T06:17:09.947Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-17T06:17:09.947Z] The best model improves the baseline by 14.52%. [2025-05-17T06:17:10.268Z] Top recommended movies for user id 72: [2025-05-17T06:17:10.268Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-17T06:17:10.268Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-17T06:17:10.268Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-17T06:17:10.268Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-17T06:17:10.268Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-17T06:17:10.268Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (48074.914 ms) ====== [2025-05-17T06:17:10.268Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-05-17T06:17:10.268Z] GC before operation: completed in 145.110 ms, heap usage 205.346 MB -> 89.268 MB. [2025-05-17T06:17:19.035Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T06:17:26.100Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T06:17:33.174Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T06:17:41.801Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T06:17:45.438Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T06:17:49.099Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T06:17:53.686Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T06:17:58.287Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T06:17:58.287Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-17T06:17:58.287Z] The best model improves the baseline by 14.52%. [2025-05-17T06:17:58.637Z] Top recommended movies for user id 72: [2025-05-17T06:17:58.637Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-17T06:17:58.637Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-17T06:17:58.637Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-17T06:17:58.637Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-17T06:17:58.637Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-17T06:17:58.637Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (48348.278 ms) ====== [2025-05-17T06:17:58.637Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-05-17T06:17:58.971Z] GC before operation: completed in 143.731 ms, heap usage 198.975 MB -> 89.398 MB. [2025-05-17T06:18:06.027Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T06:18:13.108Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T06:18:21.755Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T06:18:28.792Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T06:18:32.429Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T06:18:37.002Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T06:18:41.583Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T06:18:45.241Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T06:18:46.012Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-17T06:18:46.012Z] The best model improves the baseline by 14.52%. [2025-05-17T06:18:46.012Z] Top recommended movies for user id 72: [2025-05-17T06:18:46.012Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-17T06:18:46.012Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-17T06:18:46.012Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-17T06:18:46.012Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-17T06:18:46.012Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-17T06:18:46.012Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (47236.891 ms) ====== [2025-05-17T06:18:46.012Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-05-17T06:18:46.331Z] GC before operation: completed in 149.955 ms, heap usage 169.161 MB -> 89.207 MB. [2025-05-17T06:18:53.375Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T06:19:00.426Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T06:19:09.070Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T06:19:16.086Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T06:19:19.714Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T06:19:24.307Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T06:19:28.889Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T06:19:33.547Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T06:19:33.547Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-17T06:19:33.547Z] The best model improves the baseline by 14.52%. [2025-05-17T06:19:33.547Z] Top recommended movies for user id 72: [2025-05-17T06:19:33.547Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-17T06:19:33.547Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-17T06:19:33.547Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-17T06:19:33.547Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-17T06:19:33.547Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-17T06:19:33.547Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (47379.370 ms) ====== [2025-05-17T06:19:33.547Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-05-17T06:19:33.875Z] GC before operation: completed in 144.276 ms, heap usage 168.095 MB -> 89.427 MB. [2025-05-17T06:19:40.951Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T06:19:49.592Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T06:19:56.676Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T06:20:03.721Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T06:20:07.336Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T06:20:11.939Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T06:20:17.673Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T06:20:21.326Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T06:20:21.646Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-17T06:20:21.646Z] The best model improves the baseline by 14.52%. [2025-05-17T06:20:21.979Z] Top recommended movies for user id 72: [2025-05-17T06:20:21.979Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-17T06:20:21.979Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-17T06:20:21.979Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-17T06:20:21.979Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-17T06:20:21.979Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-17T06:20:21.979Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (48179.062 ms) ====== [2025-05-17T06:20:21.979Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-05-17T06:20:21.979Z] GC before operation: completed in 149.124 ms, heap usage 200.461 MB -> 89.277 MB. [2025-05-17T06:20:29.094Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T06:20:37.747Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T06:20:44.789Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T06:20:51.873Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T06:20:56.554Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T06:21:00.192Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T06:21:04.801Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T06:21:09.435Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T06:21:09.435Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-17T06:21:09.435Z] The best model improves the baseline by 14.52%. [2025-05-17T06:21:09.757Z] Top recommended movies for user id 72: [2025-05-17T06:21:09.757Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-17T06:21:09.757Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-17T06:21:09.757Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-17T06:21:09.757Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-17T06:21:09.757Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-17T06:21:09.757Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (47578.323 ms) ====== [2025-05-17T06:21:09.757Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-05-17T06:21:09.757Z] GC before operation: completed in 146.776 ms, heap usage 167.446 MB -> 89.351 MB. [2025-05-17T06:21:18.391Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T06:21:25.475Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T06:21:32.569Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T06:21:39.606Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T06:21:44.197Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T06:21:48.781Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T06:21:53.354Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T06:21:57.030Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T06:21:57.708Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-17T06:21:57.708Z] The best model improves the baseline by 14.52%. [2025-05-17T06:21:58.056Z] Top recommended movies for user id 72: [2025-05-17T06:21:58.056Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-17T06:21:58.056Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-17T06:21:58.056Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-17T06:21:58.056Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-17T06:21:58.056Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-17T06:21:58.056Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (48092.529 ms) ====== [2025-05-17T06:21:58.056Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-05-17T06:21:58.056Z] GC before operation: completed in 144.540 ms, heap usage 176.380 MB -> 89.207 MB. [2025-05-17T06:22:05.093Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T06:22:13.715Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T06:22:20.781Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T06:22:27.816Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T06:22:32.391Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T06:22:36.973Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T06:22:40.615Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T06:22:45.228Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T06:22:45.550Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-17T06:22:45.550Z] The best model improves the baseline by 14.52%. [2025-05-17T06:22:45.900Z] Top recommended movies for user id 72: [2025-05-17T06:22:45.900Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-17T06:22:45.900Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-17T06:22:45.900Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-17T06:22:45.900Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-17T06:22:45.900Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-17T06:22:45.900Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (47697.743 ms) ====== [2025-05-17T06:22:45.900Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-05-17T06:22:45.900Z] GC before operation: completed in 146.755 ms, heap usage 200.563 MB -> 89.324 MB. [2025-05-17T06:22:52.961Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T06:23:01.666Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T06:23:08.730Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T06:23:15.748Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T06:23:20.343Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T06:23:23.994Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T06:23:28.577Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T06:23:33.181Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T06:23:33.181Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-17T06:23:33.181Z] The best model improves the baseline by 14.52%. [2025-05-17T06:23:33.501Z] Top recommended movies for user id 72: [2025-05-17T06:23:33.501Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-17T06:23:33.501Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-17T06:23:33.501Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-17T06:23:33.501Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-17T06:23:33.501Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-17T06:23:33.501Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (47477.056 ms) ====== [2025-05-17T06:23:33.821Z] ----------------------------------- [2025-05-17T06:23:33.821Z] renaissance-movie-lens_0_PASSED [2025-05-17T06:23:33.821Z] ----------------------------------- [2025-05-17T06:23:34.482Z] [2025-05-17T06:23:34.482Z] TEST TEARDOWN: [2025-05-17T06:23:34.482Z] Nothing to be done for teardown. [2025-05-17T06:23:34.482Z] renaissance-movie-lens_0 Finish Time: Sat May 17 06:23:34 2025 Epoch Time (ms): 1747463014347