[2025-04-16T09:54:20.116Z] Running test renaissance-movie-lens_0 ... [2025-04-16T09:54:20.116Z] =============================================== [2025-04-16T09:54:20.116Z] renaissance-movie-lens_0 Start Time: Wed Apr 16 02:54:19 2025 Epoch Time (ms): 1744797259814 [2025-04-16T09:54:20.752Z] variation: NoOptions [2025-04-16T09:54:20.752Z] JVM_OPTIONS: [2025-04-16T09:54:20.752Z] { \ [2025-04-16T09:54:20.752Z] echo ""; echo "TEST SETUP:"; \ [2025-04-16T09:54:20.752Z] echo "Nothing to be done for setup."; \ [2025-04-16T09:54:20.752Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17447911711065/renaissance-movie-lens_0"; \ [2025-04-16T09:54:20.752Z] cd "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17447911711065/renaissance-movie-lens_0"; \ [2025-04-16T09:54:20.752Z] echo ""; echo "TESTING:"; \ [2025-04-16T09:54:20.752Z] "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17447911711065/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-04-16T09:54:20.752Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17447911711065/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-04-16T09:54:20.752Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-04-16T09:54:20.752Z] echo "Nothing to be done for teardown."; \ [2025-04-16T09:54:20.752Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17447911711065/TestTargetResult"; [2025-04-16T09:54:20.752Z] [2025-04-16T09:54:20.752Z] TEST SETUP: [2025-04-16T09:54:20.752Z] Nothing to be done for setup. [2025-04-16T09:54:20.752Z] [2025-04-16T09:54:20.752Z] TESTING: [2025-04-16T09:54:38.458Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-04-16T09:54:59.750Z] 02:54:58.063 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1866 KiB). The maximum recommended task size is 1000 KiB. [2025-04-16T09:55:04.762Z] Got 100004 ratings from 671 users on 9066 movies. [2025-04-16T09:55:05.828Z] Training: 60056, validation: 20285, test: 19854 [2025-04-16T09:55:05.828Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-04-16T09:55:06.258Z] GC before operation: completed in 371.146 ms, heap usage 266.278 MB -> 74.636 MB. [2025-04-16T09:55:31.736Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T09:55:50.743Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T09:56:06.411Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T09:56:21.707Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T09:56:29.559Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T09:56:38.372Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T09:56:47.420Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T09:56:54.591Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T09:56:55.631Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T09:56:55.631Z] The best model improves the baseline by 14.52%. [2025-04-16T09:56:56.808Z] Top recommended movies for user id 72: [2025-04-16T09:56:56.808Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T09:56:56.808Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T09:56:56.808Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T09:56:56.808Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T09:56:56.808Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T09:56:56.808Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (110533.421 ms) ====== [2025-04-16T09:56:56.808Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-04-16T09:56:57.201Z] GC before operation: completed in 545.450 ms, heap usage 384.743 MB -> 85.397 MB. [2025-04-16T09:57:15.684Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T09:57:31.270Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T09:57:45.919Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T09:57:58.314Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T09:58:06.119Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T09:58:15.119Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T09:58:22.585Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T09:58:29.659Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T09:58:30.943Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T09:58:30.943Z] The best model improves the baseline by 14.52%. [2025-04-16T09:58:32.140Z] Top recommended movies for user id 72: [2025-04-16T09:58:32.140Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T09:58:32.140Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T09:58:32.140Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T09:58:32.140Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T09:58:32.140Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T09:58:32.140Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (94594.876 ms) ====== [2025-04-16T09:58:32.140Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-04-16T09:58:32.707Z] GC before operation: completed in 492.808 ms, heap usage 293.885 MB -> 87.242 MB. [2025-04-16T09:58:50.670Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T09:59:05.379Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T09:59:20.321Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T09:59:31.326Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T09:59:42.076Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T09:59:51.147Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T09:59:59.833Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T10:00:07.486Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T10:00:08.984Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T10:00:08.984Z] The best model improves the baseline by 14.52%. [2025-04-16T10:00:09.425Z] Top recommended movies for user id 72: [2025-04-16T10:00:09.425Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T10:00:09.425Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T10:00:09.425Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T10:00:09.425Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T10:00:09.425Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T10:00:09.425Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (97200.654 ms) ====== [2025-04-16T10:00:09.425Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-04-16T10:00:09.948Z] GC before operation: completed in 406.103 ms, heap usage 319.819 MB -> 87.839 MB. [2025-04-16T10:00:25.224Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T10:00:40.730Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T10:00:56.249Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T10:01:09.432Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T10:01:17.237Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T10:01:24.285Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T10:01:33.639Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T10:01:40.896Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T10:01:40.896Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T10:01:41.433Z] The best model improves the baseline by 14.52%. [2025-04-16T10:01:41.433Z] Top recommended movies for user id 72: [2025-04-16T10:01:41.433Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T10:01:41.433Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T10:01:41.433Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T10:01:41.433Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T10:01:41.433Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T10:01:41.433Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (91665.536 ms) ====== [2025-04-16T10:01:41.433Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-04-16T10:01:41.963Z] GC before operation: completed in 550.310 ms, heap usage 301.688 MB -> 88.131 MB. [2025-04-16T10:02:00.249Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T10:02:10.582Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T10:02:23.509Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T10:02:36.404Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T10:02:43.340Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T10:02:50.965Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T10:02:59.609Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T10:03:07.010Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T10:03:08.404Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T10:03:08.404Z] The best model improves the baseline by 14.52%. [2025-04-16T10:03:08.404Z] Top recommended movies for user id 72: [2025-04-16T10:03:08.404Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T10:03:08.404Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T10:03:08.404Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T10:03:08.404Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T10:03:08.404Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T10:03:08.404Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (86531.429 ms) ====== [2025-04-16T10:03:08.404Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-04-16T10:03:08.917Z] GC before operation: completed in 445.266 ms, heap usage 325.923 MB -> 88.063 MB. [2025-04-16T10:03:23.922Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T10:03:36.186Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T10:03:46.964Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T10:03:59.635Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T10:04:06.439Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T10:04:13.467Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T10:04:21.123Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T10:04:29.607Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T10:04:30.562Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T10:04:30.562Z] The best model improves the baseline by 14.52%. [2025-04-16T10:04:31.021Z] Top recommended movies for user id 72: [2025-04-16T10:04:31.021Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T10:04:31.021Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T10:04:31.021Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T10:04:31.021Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T10:04:31.021Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T10:04:31.021Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (81784.535 ms) ====== [2025-04-16T10:04:31.021Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-04-16T10:04:31.429Z] GC before operation: completed in 381.766 ms, heap usage 355.004 MB -> 88.485 MB. [2025-04-16T10:04:46.396Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T10:04:56.309Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T10:05:08.741Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T10:05:21.075Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T10:05:28.039Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T10:05:33.790Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T10:05:41.118Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T10:05:48.237Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T10:05:48.851Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T10:05:48.852Z] The best model improves the baseline by 14.52%. [2025-04-16T10:05:48.852Z] Top recommended movies for user id 72: [2025-04-16T10:05:48.852Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T10:05:48.852Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T10:05:48.852Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T10:05:48.852Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T10:05:48.852Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T10:05:48.852Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (77514.897 ms) ====== [2025-04-16T10:05:48.852Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-04-16T10:05:49.288Z] GC before operation: completed in 486.224 ms, heap usage 389.785 MB -> 88.433 MB. [2025-04-16T10:06:04.775Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T10:06:15.347Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T10:06:27.805Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T10:06:40.430Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T10:06:47.401Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T10:06:53.225Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T10:06:59.015Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T10:07:06.443Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T10:07:06.946Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T10:07:06.946Z] The best model improves the baseline by 14.52%. [2025-04-16T10:07:07.388Z] Top recommended movies for user id 72: [2025-04-16T10:07:07.388Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T10:07:07.388Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T10:07:07.388Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T10:07:07.388Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T10:07:07.388Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T10:07:07.388Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (77782.839 ms) ====== [2025-04-16T10:07:07.388Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-04-16T10:07:07.388Z] GC before operation: completed in 456.476 ms, heap usage 395.046 MB -> 88.651 MB. [2025-04-16T10:07:22.318Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T10:07:32.821Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T10:07:45.364Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T10:07:56.239Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T10:08:06.670Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T10:08:14.211Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T10:08:20.257Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T10:08:27.214Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T10:08:27.656Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T10:08:27.656Z] The best model improves the baseline by 14.52%. [2025-04-16T10:08:28.112Z] Top recommended movies for user id 72: [2025-04-16T10:08:28.112Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T10:08:28.112Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T10:08:28.112Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T10:08:28.112Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T10:08:28.112Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T10:08:28.112Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (80817.365 ms) ====== [2025-04-16T10:08:28.112Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-04-16T10:08:29.112Z] GC before operation: completed in 682.609 ms, heap usage 145.363 MB -> 91.450 MB. [2025-04-16T10:08:44.911Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T10:08:59.880Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T10:09:12.365Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T10:09:20.635Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T10:09:26.191Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T10:09:32.037Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T10:09:39.172Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T10:09:45.061Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T10:09:46.007Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T10:09:46.007Z] The best model improves the baseline by 14.52%. [2025-04-16T10:09:46.481Z] Top recommended movies for user id 72: [2025-04-16T10:09:46.481Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T10:09:46.481Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T10:09:46.481Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T10:09:46.481Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T10:09:46.481Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T10:09:46.481Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (77309.032 ms) ====== [2025-04-16T10:09:46.481Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-04-16T10:09:46.481Z] GC before operation: completed in 283.334 ms, heap usage 207.043 MB -> 88.481 MB. [2025-04-16T10:10:01.264Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T10:10:11.809Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T10:10:21.947Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T10:10:30.334Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T10:10:35.259Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T10:10:38.664Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T10:10:44.388Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T10:10:49.953Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T10:10:50.845Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T10:10:50.845Z] The best model improves the baseline by 14.52%. [2025-04-16T10:10:51.319Z] Top recommended movies for user id 72: [2025-04-16T10:10:51.319Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T10:10:51.319Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T10:10:51.319Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T10:10:51.319Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T10:10:51.319Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T10:10:51.319Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (64911.616 ms) ====== [2025-04-16T10:10:51.319Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-04-16T10:10:51.780Z] GC before operation: completed in 347.571 ms, heap usage 174.866 MB -> 88.197 MB. [2025-04-16T10:11:04.074Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T10:11:12.709Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T10:11:22.639Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T10:11:31.316Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T10:11:37.021Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T10:11:43.915Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T10:11:51.123Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T10:11:57.964Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T10:11:58.954Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T10:11:58.954Z] The best model improves the baseline by 14.52%. [2025-04-16T10:11:58.954Z] Top recommended movies for user id 72: [2025-04-16T10:11:58.954Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T10:11:58.954Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T10:11:58.954Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T10:11:58.954Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T10:11:58.954Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T10:11:58.954Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (67233.606 ms) ====== [2025-04-16T10:11:58.954Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-04-16T10:11:59.859Z] GC before operation: completed in 514.070 ms, heap usage 285.356 MB -> 88.566 MB. [2025-04-16T10:12:12.459Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T10:12:23.031Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T10:12:32.955Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T10:12:43.165Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T10:12:50.294Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T10:12:56.119Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T10:13:03.625Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T10:13:12.533Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T10:13:12.533Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T10:13:13.095Z] The best model improves the baseline by 14.52%. [2025-04-16T10:13:13.541Z] Top recommended movies for user id 72: [2025-04-16T10:13:13.541Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T10:13:13.541Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T10:13:13.541Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T10:13:13.541Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T10:13:13.541Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T10:13:13.541Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (73502.222 ms) ====== [2025-04-16T10:13:13.541Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-04-16T10:13:13.541Z] GC before operation: completed in 399.281 ms, heap usage 721.788 MB -> 92.496 MB. [2025-04-16T10:13:29.061Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T10:13:41.666Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T10:13:56.270Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T10:14:11.352Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T10:14:17.035Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T10:14:23.217Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T10:14:29.167Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T10:14:36.295Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T10:14:37.405Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T10:14:37.406Z] The best model improves the baseline by 14.52%. [2025-04-16T10:14:38.643Z] Top recommended movies for user id 72: [2025-04-16T10:14:38.643Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T10:14:38.643Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T10:14:38.643Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T10:14:38.643Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T10:14:38.643Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T10:14:38.643Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (85146.659 ms) ====== [2025-04-16T10:14:38.643Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-04-16T10:14:39.067Z] GC before operation: completed in 459.849 ms, heap usage 294.601 MB -> 88.496 MB. [2025-04-16T10:14:54.342Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T10:15:04.836Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T10:15:17.240Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T10:15:30.181Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T10:15:37.069Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T10:15:44.369Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T10:15:53.225Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T10:16:00.539Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T10:16:02.381Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T10:16:02.952Z] The best model improves the baseline by 14.52%. [2025-04-16T10:16:02.952Z] Top recommended movies for user id 72: [2025-04-16T10:16:02.952Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T10:16:02.952Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T10:16:02.952Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T10:16:02.952Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T10:16:02.952Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T10:16:02.952Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (83900.071 ms) ====== [2025-04-16T10:16:02.952Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-04-16T10:16:03.465Z] GC before operation: completed in 605.372 ms, heap usage 463.205 MB -> 88.984 MB. [2025-04-16T10:16:18.853Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T10:16:34.166Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T10:16:46.843Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T10:16:59.196Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T10:17:06.632Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T10:17:15.219Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T10:17:22.247Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T10:17:30.748Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T10:17:31.722Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T10:17:31.722Z] The best model improves the baseline by 14.52%. [2025-04-16T10:17:31.722Z] Top recommended movies for user id 72: [2025-04-16T10:17:31.722Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T10:17:31.722Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T10:17:31.722Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T10:17:31.722Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T10:17:31.722Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T10:17:31.722Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (88236.769 ms) ====== [2025-04-16T10:17:31.722Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-04-16T10:17:32.194Z] GC before operation: completed in 374.062 ms, heap usage 101.507 MB -> 91.276 MB. [2025-04-16T10:17:47.206Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T10:17:57.828Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T10:18:10.517Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T10:18:22.793Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T10:18:27.899Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T10:18:34.912Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T10:18:41.898Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T10:18:49.519Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T10:18:50.075Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T10:18:50.569Z] The best model improves the baseline by 14.52%. [2025-04-16T10:18:50.569Z] Top recommended movies for user id 72: [2025-04-16T10:18:50.569Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T10:18:50.569Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T10:18:50.569Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T10:18:50.569Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T10:18:50.569Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T10:18:50.569Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (78445.645 ms) ====== [2025-04-16T10:18:50.569Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-04-16T10:18:51.526Z] GC before operation: completed in 629.703 ms, heap usage 639.534 MB -> 92.358 MB. [2025-04-16T10:19:07.057Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T10:19:19.352Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T10:19:34.417Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T10:19:44.847Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T10:19:52.388Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T10:20:01.248Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T10:20:09.919Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T10:20:17.125Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T10:20:17.635Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T10:20:17.635Z] The best model improves the baseline by 14.52%. [2025-04-16T10:20:18.153Z] Top recommended movies for user id 72: [2025-04-16T10:20:18.153Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T10:20:18.153Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T10:20:18.153Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T10:20:18.153Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T10:20:18.153Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T10:20:18.153Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (86922.004 ms) ====== [2025-04-16T10:20:18.153Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-04-16T10:20:18.680Z] GC before operation: completed in 515.668 ms, heap usage 229.993 MB -> 88.370 MB. [2025-04-16T10:20:33.489Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T10:20:48.217Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T10:21:01.035Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T10:21:13.813Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T10:21:21.059Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T10:21:28.216Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T10:21:35.779Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T10:21:43.089Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T10:21:44.031Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T10:21:44.031Z] The best model improves the baseline by 14.52%. [2025-04-16T10:21:44.571Z] Top recommended movies for user id 72: [2025-04-16T10:21:44.571Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T10:21:44.571Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T10:21:44.571Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T10:21:44.571Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T10:21:44.571Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T10:21:44.571Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (85874.243 ms) ====== [2025-04-16T10:21:44.571Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-04-16T10:21:45.026Z] GC before operation: completed in 608.802 ms, heap usage 163.722 MB -> 88.439 MB. [2025-04-16T10:22:00.493Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T10:22:16.123Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T10:22:29.360Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T10:22:41.849Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T10:22:50.417Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T10:22:57.702Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T10:23:04.376Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T10:23:11.478Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T10:23:12.693Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T10:23:12.693Z] The best model improves the baseline by 14.52%. [2025-04-16T10:23:13.099Z] Top recommended movies for user id 72: [2025-04-16T10:23:13.099Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T10:23:13.099Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T10:23:13.099Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T10:23:13.099Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T10:23:13.099Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T10:23:13.099Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (87823.392 ms) ====== [2025-04-16T10:23:17.147Z] ----------------------------------- [2025-04-16T10:23:17.147Z] renaissance-movie-lens_0_PASSED [2025-04-16T10:23:17.147Z] ----------------------------------- [2025-04-16T10:23:17.147Z] [2025-04-16T10:23:17.147Z] TEST TEARDOWN: [2025-04-16T10:23:17.147Z] Nothing to be done for teardown. [2025-04-16T10:23:17.147Z] renaissance-movie-lens_0 Finish Time: Wed Apr 16 03:23:16 2025 Epoch Time (ms): 1744798996784