[2025-07-16T17:52:29.630Z] Running test renaissance-movie-lens_0 ... [2025-07-16T17:52:29.965Z] =============================================== [2025-07-16T17:52:29.965Z] renaissance-movie-lens_0 Start Time: Wed Jul 16 17:52:29 2025 Epoch Time (ms): 1752688349813 [2025-07-16T17:52:29.965Z] variation: NoOptions [2025-07-16T17:52:30.301Z] JVM_OPTIONS: [2025-07-16T17:52:30.301Z] { \ [2025-07-16T17:52:30.301Z] echo ""; echo "TEST SETUP:"; \ [2025-07-16T17:52:30.301Z] echo "Nothing to be done for setup."; \ [2025-07-16T17:52:30.301Z] mkdir -p "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17526857057864\\renaissance-movie-lens_0"; \ [2025-07-16T17:52:30.301Z] cd "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17526857057864\\renaissance-movie-lens_0"; \ [2025-07-16T17:52:30.301Z] echo ""; echo "TESTING:"; \ [2025-07-16T17:52:30.301Z] "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_17526857057864\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2025-07-16T17:52:30.301Z] 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_17526857057864\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-07-16T17:52:30.301Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-07-16T17:52:30.301Z] echo "Nothing to be done for teardown."; \ [2025-07-16T17:52:30.301Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17526857057864\\TestTargetResult"; [2025-07-16T17:52:30.301Z] [2025-07-16T17:52:30.301Z] TEST SETUP: [2025-07-16T17:52:30.301Z] Nothing to be done for setup. [2025-07-16T17:52:30.301Z] [2025-07-16T17:52:30.301Z] TESTING: [2025-07-16T17:52:49.223Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-07-16T17:52:58.099Z] 17:52:57.097 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-07-16T17:53:01.029Z] Got 100004 ratings from 671 users on 9066 movies. [2025-07-16T17:53:01.029Z] Training: 60056, validation: 20285, test: 19854 [2025-07-16T17:53:01.029Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-07-16T17:53:01.365Z] GC before operation: completed in 228.374 ms, heap usage 405.861 MB -> 75.049 MB. [2025-07-16T17:53:17.428Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T17:53:30.397Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T17:53:41.136Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T17:53:54.121Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T17:53:58.848Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T17:54:06.025Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T17:54:11.804Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T17:54:18.984Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T17:54:18.984Z] 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. [2025-07-16T17:54:18.984Z] The best model improves the baseline by 14.52%. [2025-07-16T17:54:19.412Z] Top recommended movies for user id 72: [2025-07-16T17:54:19.412Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T17:54:19.412Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T17:54:19.412Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T17:54:19.412Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T17:54:19.412Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T17:54:19.412Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (78198.377 ms) ====== [2025-07-16T17:54:19.412Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-07-16T17:54:19.787Z] GC before operation: completed in 177.533 ms, heap usage 227.442 MB -> 85.826 MB. [2025-07-16T17:54:30.473Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T17:54:41.208Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T17:54:51.905Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T17:55:00.863Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T17:55:06.756Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T17:55:12.916Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T17:55:20.207Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T17:55:26.107Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T17:55:26.465Z] 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. [2025-07-16T17:55:26.465Z] The best model improves the baseline by 14.52%. [2025-07-16T17:55:26.856Z] Top recommended movies for user id 72: [2025-07-16T17:55:26.856Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T17:55:26.856Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T17:55:26.856Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T17:55:26.856Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T17:55:26.856Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T17:55:26.856Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (67150.755 ms) ====== [2025-07-16T17:55:26.856Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-07-16T17:55:26.856Z] GC before operation: completed in 208.205 ms, heap usage 177.465 MB -> 87.927 MB. [2025-07-16T17:55:37.682Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T17:55:46.417Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T17:55:59.372Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T17:56:08.111Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T17:56:12.753Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T17:56:18.557Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T17:56:25.697Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T17:56:30.347Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T17:56:30.677Z] 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. [2025-07-16T17:56:30.677Z] The best model improves the baseline by 14.52%. [2025-07-16T17:56:31.012Z] Top recommended movies for user id 72: [2025-07-16T17:56:31.012Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T17:56:31.012Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T17:56:31.012Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T17:56:31.012Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T17:56:31.012Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T17:56:31.012Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (64044.133 ms) ====== [2025-07-16T17:56:31.012Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-07-16T17:56:31.348Z] GC before operation: completed in 167.178 ms, heap usage 255.457 MB -> 88.608 MB. [2025-07-16T17:56:41.984Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T17:56:50.726Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T17:57:01.391Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T17:57:12.048Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T17:57:16.671Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T17:57:22.458Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T17:57:29.602Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T17:57:35.434Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T17:57:35.434Z] 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. [2025-07-16T17:57:35.434Z] The best model improves the baseline by 14.52%. [2025-07-16T17:57:35.893Z] Top recommended movies for user id 72: [2025-07-16T17:57:35.893Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T17:57:35.893Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T17:57:35.893Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T17:57:35.893Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T17:57:35.893Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T17:57:35.893Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (64730.328 ms) ====== [2025-07-16T17:57:35.893Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-07-16T17:57:36.212Z] GC before operation: completed in 170.121 ms, heap usage 125.758 MB -> 88.778 MB. [2025-07-16T17:57:46.930Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T17:57:55.666Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T17:58:08.688Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T17:58:15.876Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T17:58:21.768Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T17:58:27.673Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T17:58:35.112Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T17:58:40.908Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T17:58:40.908Z] 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. [2025-07-16T17:58:40.908Z] The best model improves the baseline by 14.52%. [2025-07-16T17:58:41.310Z] Top recommended movies for user id 72: [2025-07-16T17:58:41.310Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T17:58:41.310Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T17:58:41.310Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T17:58:41.310Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T17:58:41.310Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T17:58:41.310Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (64970.528 ms) ====== [2025-07-16T17:58:41.310Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-07-16T17:58:41.310Z] GC before operation: completed in 192.977 ms, heap usage 195.406 MB -> 88.797 MB. [2025-07-16T17:58:52.054Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T17:59:00.802Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T17:59:11.505Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T17:59:20.328Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T17:59:25.058Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T17:59:31.004Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T17:59:38.231Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T17:59:42.881Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T17:59:42.881Z] 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. [2025-07-16T17:59:43.227Z] The best model improves the baseline by 14.52%. [2025-07-16T17:59:43.606Z] Top recommended movies for user id 72: [2025-07-16T17:59:43.606Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T17:59:43.606Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T17:59:43.606Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T17:59:43.606Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T17:59:43.606Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T17:59:43.606Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (62146.616 ms) ====== [2025-07-16T17:59:43.606Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-07-16T17:59:43.606Z] GC before operation: completed in 196.526 ms, heap usage 194.052 MB -> 89.128 MB. [2025-07-16T17:59:54.216Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T18:00:02.996Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T18:00:13.644Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T18:00:22.382Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T18:00:28.148Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T18:00:33.946Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T18:00:39.742Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T18:00:45.555Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T18:00:45.555Z] 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. [2025-07-16T18:00:45.555Z] The best model improves the baseline by 14.52%. [2025-07-16T18:00:46.320Z] Top recommended movies for user id 72: [2025-07-16T18:00:46.320Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T18:00:46.320Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T18:00:46.320Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T18:00:46.320Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T18:00:46.320Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T18:00:46.320Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (62461.145 ms) ====== [2025-07-16T18:00:46.320Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-07-16T18:00:46.320Z] GC before operation: completed in 166.165 ms, heap usage 182.132 MB -> 89.075 MB. [2025-07-16T18:00:57.038Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T18:01:05.830Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T18:01:16.542Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T18:01:25.376Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T18:01:31.172Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T18:01:35.877Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T18:01:43.118Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T18:01:47.798Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T18:01:48.144Z] 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. [2025-07-16T18:01:48.144Z] The best model improves the baseline by 14.52%. [2025-07-16T18:01:48.523Z] Top recommended movies for user id 72: [2025-07-16T18:01:48.523Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T18:01:48.523Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T18:01:48.523Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T18:01:48.523Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T18:01:48.523Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T18:01:48.523Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (62300.439 ms) ====== [2025-07-16T18:01:48.523Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-07-16T18:01:48.869Z] GC before operation: completed in 167.980 ms, heap usage 215.177 MB -> 89.295 MB. [2025-07-16T18:01:59.533Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T18:02:08.357Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T18:02:19.057Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T18:02:27.900Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T18:02:32.612Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T18:02:38.648Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T18:02:44.505Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T18:02:50.454Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T18:02:50.454Z] 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. [2025-07-16T18:02:50.454Z] The best model improves the baseline by 14.52%. [2025-07-16T18:02:50.850Z] Top recommended movies for user id 72: [2025-07-16T18:02:50.850Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T18:02:50.850Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T18:02:50.850Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T18:02:50.850Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T18:02:50.850Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T18:02:50.850Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (61853.805 ms) ====== [2025-07-16T18:02:50.850Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-07-16T18:02:50.850Z] GC before operation: completed in 194.757 ms, heap usage 174.854 MB -> 89.133 MB. [2025-07-16T18:03:01.547Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T18:03:10.277Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T18:03:20.920Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T18:03:29.663Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T18:03:35.453Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T18:03:41.237Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T18:03:47.070Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T18:03:52.927Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T18:03:52.927Z] 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. [2025-07-16T18:03:52.927Z] The best model improves the baseline by 14.52%. [2025-07-16T18:03:53.263Z] Top recommended movies for user id 72: [2025-07-16T18:03:53.263Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T18:03:53.263Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T18:03:53.263Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T18:03:53.263Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T18:03:53.263Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T18:03:53.263Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (62503.744 ms) ====== [2025-07-16T18:03:53.263Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-07-16T18:03:53.596Z] GC before operation: completed in 170.430 ms, heap usage 235.103 MB -> 89.358 MB. [2025-07-16T18:04:04.264Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T18:04:13.027Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T18:04:23.675Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T18:04:32.407Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T18:04:38.224Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T18:04:44.092Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T18:04:51.204Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T18:04:57.072Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T18:04:57.072Z] 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. [2025-07-16T18:04:57.072Z] The best model improves the baseline by 14.52%. [2025-07-16T18:04:57.072Z] Top recommended movies for user id 72: [2025-07-16T18:04:57.072Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T18:04:57.072Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T18:04:57.072Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T18:04:57.072Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T18:04:57.072Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T18:04:57.072Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (63683.135 ms) ====== [2025-07-16T18:04:57.072Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-07-16T18:04:57.414Z] GC before operation: completed in 162.135 ms, heap usage 167.018 MB -> 89.066 MB. [2025-07-16T18:05:08.035Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T18:05:18.660Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T18:05:29.409Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T18:05:38.162Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T18:05:43.998Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T18:05:48.696Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T18:05:55.788Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T18:06:00.414Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T18:06:01.117Z] 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. [2025-07-16T18:06:01.118Z] The best model improves the baseline by 14.52%. [2025-07-16T18:06:01.539Z] Top recommended movies for user id 72: [2025-07-16T18:06:01.539Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T18:06:01.539Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T18:06:01.539Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T18:06:01.539Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T18:06:01.539Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T18:06:01.539Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (64233.729 ms) ====== [2025-07-16T18:06:01.539Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-07-16T18:06:01.539Z] GC before operation: completed in 164.384 ms, heap usage 179.620 MB -> 89.265 MB. [2025-07-16T18:06:12.165Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T18:06:22.782Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T18:06:33.467Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T18:06:42.209Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T18:06:47.995Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T18:06:53.809Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T18:06:59.676Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T18:07:05.458Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T18:07:05.458Z] 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. [2025-07-16T18:07:05.458Z] The best model improves the baseline by 14.52%. [2025-07-16T18:07:05.837Z] Top recommended movies for user id 72: [2025-07-16T18:07:05.837Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T18:07:05.837Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T18:07:05.837Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T18:07:05.837Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T18:07:05.837Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T18:07:05.837Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (64087.921 ms) ====== [2025-07-16T18:07:05.837Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-07-16T18:07:05.837Z] GC before operation: completed in 166.642 ms, heap usage 180.583 MB -> 89.381 MB. [2025-07-16T18:07:16.575Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T18:07:25.321Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T18:07:35.998Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T18:07:44.710Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T18:07:50.502Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T18:07:56.277Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T18:08:02.087Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T18:08:07.909Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T18:08:08.240Z] 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. [2025-07-16T18:08:08.240Z] The best model improves the baseline by 14.52%. [2025-07-16T18:08:08.588Z] Top recommended movies for user id 72: [2025-07-16T18:08:08.588Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T18:08:08.588Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T18:08:08.588Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T18:08:08.588Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T18:08:08.588Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T18:08:08.588Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (62589.663 ms) ====== [2025-07-16T18:08:08.588Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-07-16T18:08:08.588Z] GC before operation: completed in 163.305 ms, heap usage 206.780 MB -> 89.215 MB. [2025-07-16T18:08:19.226Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T18:08:27.953Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T18:08:38.620Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T18:08:49.251Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T18:08:53.913Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T18:08:59.696Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T18:09:05.511Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T18:09:11.311Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T18:09:11.312Z] 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. [2025-07-16T18:09:11.312Z] The best model improves the baseline by 14.52%. [2025-07-16T18:09:11.653Z] Top recommended movies for user id 72: [2025-07-16T18:09:11.653Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T18:09:11.653Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T18:09:11.653Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T18:09:11.653Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T18:09:11.653Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T18:09:11.653Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (62981.349 ms) ====== [2025-07-16T18:09:11.653Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-07-16T18:09:11.989Z] GC before operation: completed in 162.881 ms, heap usage 119.625 MB -> 89.331 MB. [2025-07-16T18:09:22.652Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T18:09:31.403Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T18:09:42.076Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T18:09:50.938Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T18:09:56.761Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T18:10:01.398Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T18:10:08.546Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T18:10:13.175Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T18:10:13.506Z] 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. [2025-07-16T18:10:13.506Z] The best model improves the baseline by 14.52%. [2025-07-16T18:10:13.850Z] Top recommended movies for user id 72: [2025-07-16T18:10:13.850Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T18:10:13.850Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T18:10:13.850Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T18:10:13.850Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T18:10:13.850Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T18:10:13.850Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (61965.003 ms) ====== [2025-07-16T18:10:13.850Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-07-16T18:10:13.850Z] GC before operation: completed in 165.190 ms, heap usage 219.310 MB -> 89.279 MB. [2025-07-16T18:10:24.488Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T18:10:33.234Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T18:10:43.904Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T18:10:52.670Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T18:10:58.480Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T18:11:04.246Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T18:11:10.018Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T18:11:15.788Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T18:11:15.788Z] 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. [2025-07-16T18:11:15.788Z] The best model improves the baseline by 14.52%. [2025-07-16T18:11:16.252Z] Top recommended movies for user id 72: [2025-07-16T18:11:16.252Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T18:11:16.252Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T18:11:16.252Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T18:11:16.252Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T18:11:16.252Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T18:11:16.252Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (62309.409 ms) ====== [2025-07-16T18:11:16.252Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-07-16T18:11:16.588Z] GC before operation: completed in 181.887 ms, heap usage 199.536 MB -> 89.369 MB. [2025-07-16T18:11:27.245Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T18:11:35.993Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T18:11:46.639Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T18:11:55.374Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T18:12:01.165Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T18:12:07.000Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T18:12:12.800Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T18:12:17.454Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T18:12:18.146Z] 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. [2025-07-16T18:12:18.146Z] The best model improves the baseline by 14.52%. [2025-07-16T18:12:18.549Z] Top recommended movies for user id 72: [2025-07-16T18:12:18.549Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T18:12:18.549Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T18:12:18.549Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T18:12:18.549Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T18:12:18.549Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T18:12:18.549Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (62123.067 ms) ====== [2025-07-16T18:12:18.549Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-07-16T18:12:18.948Z] GC before operation: completed in 166.918 ms, heap usage 216.961 MB -> 89.210 MB. [2025-07-16T18:12:29.580Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T18:12:38.346Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T18:12:48.987Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T18:12:57.716Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T18:13:03.505Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T18:13:08.137Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T18:13:15.269Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T18:13:19.902Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T18:13:20.232Z] 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. [2025-07-16T18:13:20.232Z] The best model improves the baseline by 14.52%. [2025-07-16T18:13:20.578Z] Top recommended movies for user id 72: [2025-07-16T18:13:20.578Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T18:13:20.578Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T18:13:20.578Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T18:13:20.578Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T18:13:20.578Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T18:13:20.578Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (61840.445 ms) ====== [2025-07-16T18:13:20.578Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-07-16T18:13:20.890Z] GC before operation: completed in 169.931 ms, heap usage 181.205 MB -> 89.303 MB. [2025-07-16T18:13:31.552Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T18:13:40.306Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T18:13:50.949Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T18:13:59.432Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T18:14:05.215Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T18:14:11.019Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T18:14:16.889Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T18:14:22.671Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T18:14:22.671Z] 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. [2025-07-16T18:14:22.671Z] The best model improves the baseline by 14.52%. [2025-07-16T18:14:22.982Z] Top recommended movies for user id 72: [2025-07-16T18:14:22.982Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T18:14:22.982Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T18:14:22.982Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T18:14:22.982Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T18:14:22.982Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T18:14:22.982Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (62082.045 ms) ====== [2025-07-16T18:14:23.317Z] ----------------------------------- [2025-07-16T18:14:23.317Z] renaissance-movie-lens_0_PASSED [2025-07-16T18:14:23.317Z] ----------------------------------- [2025-07-16T18:14:24.014Z] [2025-07-16T18:14:24.014Z] TEST TEARDOWN: [2025-07-16T18:14:24.014Z] Nothing to be done for teardown. [2025-07-16T18:14:24.014Z] renaissance-movie-lens_0 Finish Time: Wed Jul 16 18:14:23 2025 Epoch Time (ms): 1752689663972