[2025-08-26T01:32:54.123Z] Running test renaissance-movie-lens_0 ... [2025-08-26T01:32:54.123Z] =============================================== [2025-08-26T01:32:54.123Z] renaissance-movie-lens_0 Start Time: Mon Aug 25 18:32:53 2025 Epoch Time (ms): 1756171973644 [2025-08-26T01:32:54.123Z] variation: NoOptions [2025-08-26T01:32:54.123Z] JVM_OPTIONS: [2025-08-26T01:32:54.123Z] { \ [2025-08-26T01:32:54.124Z] echo ""; echo "TEST SETUP:"; \ [2025-08-26T01:32:54.124Z] echo "Nothing to be done for setup."; \ [2025-08-26T01:32:54.124Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17561663982405/renaissance-movie-lens_0"; \ [2025-08-26T01:32:54.124Z] cd "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17561663982405/renaissance-movie-lens_0"; \ [2025-08-26T01:32:54.124Z] echo ""; echo "TESTING:"; \ [2025-08-26T01:32:54.124Z] "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_1/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_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17561663982405/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-08-26T01:32:54.124Z] 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_1/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17561663982405/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-08-26T01:32:54.124Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-08-26T01:32:54.124Z] echo "Nothing to be done for teardown."; \ [2025-08-26T01:32:54.124Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17561663982405/TestTargetResult"; [2025-08-26T01:32:54.124Z] [2025-08-26T01:32:54.124Z] TEST SETUP: [2025-08-26T01:32:54.124Z] Nothing to be done for setup. [2025-08-26T01:32:54.124Z] [2025-08-26T01:32:54.124Z] TESTING: [2025-08-26T01:32:59.416Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-08-26T01:33:05.938Z] 18:33:04.317 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. [2025-08-26T01:33:07.394Z] Got 100004 ratings from 671 users on 9066 movies. [2025-08-26T01:33:07.804Z] Training: 60056, validation: 20285, test: 19854 [2025-08-26T01:33:07.804Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-08-26T01:33:07.804Z] GC before operation: completed in 111.033 ms, heap usage 354.269 MB -> 74.508 MB. [2025-08-26T01:33:15.788Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-26T01:33:21.055Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-26T01:33:25.361Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-26T01:33:28.799Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-26T01:33:32.156Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-26T01:33:34.092Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-26T01:33:36.017Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-26T01:33:39.464Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-26T01:33:39.464Z] 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. [2025-08-26T01:33:39.464Z] The best model improves the baseline by 14.52%. [2025-08-26T01:33:39.464Z] Top recommended movies for user id 72: [2025-08-26T01:33:39.464Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-26T01:33:39.464Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-26T01:33:39.464Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-26T01:33:39.464Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-26T01:33:39.464Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-26T01:33:39.464Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (31788.645 ms) ====== [2025-08-26T01:33:39.464Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-08-26T01:33:39.837Z] GC before operation: completed in 140.759 ms, heap usage 431.930 MB -> 88.049 MB. [2025-08-26T01:33:44.035Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-26T01:33:48.343Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-26T01:33:51.622Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-26T01:33:55.057Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-26T01:33:56.978Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-26T01:34:00.350Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-26T01:34:01.704Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-26T01:34:04.352Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-26T01:34:04.773Z] 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. [2025-08-26T01:34:04.773Z] The best model improves the baseline by 14.52%. [2025-08-26T01:34:04.773Z] Top recommended movies for user id 72: [2025-08-26T01:34:04.773Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-26T01:34:04.773Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-26T01:34:04.773Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-26T01:34:04.773Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-26T01:34:04.773Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-26T01:34:04.773Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (25249.402 ms) ====== [2025-08-26T01:34:04.773Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-08-26T01:34:05.191Z] GC before operation: completed in 119.555 ms, heap usage 378.339 MB -> 87.346 MB. [2025-08-26T01:34:09.507Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-26T01:34:12.039Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-26T01:34:15.332Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-26T01:34:18.739Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-26T01:34:22.103Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-26T01:34:23.440Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-26T01:34:26.097Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-26T01:34:28.001Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-26T01:34:28.872Z] 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. [2025-08-26T01:34:28.872Z] The best model improves the baseline by 14.52%. [2025-08-26T01:34:29.274Z] Top recommended movies for user id 72: [2025-08-26T01:34:29.274Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-26T01:34:29.274Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-26T01:34:29.274Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-26T01:34:29.274Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-26T01:34:29.274Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-26T01:34:29.274Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (24062.215 ms) ====== [2025-08-26T01:34:29.274Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-08-26T01:34:29.274Z] GC before operation: completed in 109.177 ms, heap usage 290.768 MB -> 87.872 MB. [2025-08-26T01:34:33.503Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-26T01:34:36.874Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-26T01:34:40.189Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-26T01:34:44.582Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-26T01:34:46.552Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-26T01:34:48.424Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-26T01:34:50.371Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-26T01:34:52.966Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-26T01:34:52.966Z] 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. [2025-08-26T01:34:52.966Z] The best model improves the baseline by 14.52%. [2025-08-26T01:34:52.966Z] Top recommended movies for user id 72: [2025-08-26T01:34:52.966Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-26T01:34:52.966Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-26T01:34:52.966Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-26T01:34:52.966Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-26T01:34:52.966Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-26T01:34:52.966Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (23758.606 ms) ====== [2025-08-26T01:34:52.966Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-08-26T01:34:52.966Z] GC before operation: completed in 116.346 ms, heap usage 351.010 MB -> 88.263 MB. [2025-08-26T01:34:56.352Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-26T01:34:59.694Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-26T01:35:03.171Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-26T01:35:06.699Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-26T01:35:08.056Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-26T01:35:10.670Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-26T01:35:12.538Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-26T01:35:14.521Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-26T01:35:14.521Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-08-26T01:35:14.953Z] The best model improves the baseline by 14.52%. [2025-08-26T01:35:14.953Z] Top recommended movies for user id 72: [2025-08-26T01:35:14.953Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-26T01:35:14.953Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-26T01:35:14.953Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-26T01:35:14.953Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-26T01:35:14.953Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-26T01:35:14.953Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21776.076 ms) ====== [2025-08-26T01:35:14.953Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-08-26T01:35:14.953Z] GC before operation: completed in 139.408 ms, heap usage 294.346 MB -> 88.085 MB. [2025-08-26T01:35:20.249Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-26T01:35:23.680Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-26T01:35:26.982Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-26T01:35:31.203Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-26T01:35:33.148Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-26T01:35:35.042Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-26T01:35:36.910Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-26T01:35:39.509Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-26T01:35:39.510Z] 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. [2025-08-26T01:35:39.510Z] The best model improves the baseline by 14.52%. [2025-08-26T01:35:39.919Z] Top recommended movies for user id 72: [2025-08-26T01:35:39.919Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-26T01:35:39.919Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-26T01:35:39.919Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-26T01:35:39.919Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-26T01:35:39.919Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-26T01:35:39.919Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (24756.380 ms) ====== [2025-08-26T01:35:39.919Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-08-26T01:35:39.919Z] GC before operation: completed in 140.587 ms, heap usage 190.948 MB -> 88.264 MB. [2025-08-26T01:35:43.320Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-26T01:35:47.520Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-26T01:35:50.060Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-26T01:35:53.295Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-26T01:35:55.246Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-26T01:35:57.886Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-26T01:35:59.750Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-26T01:36:02.298Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-26T01:36:02.298Z] 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. [2025-08-26T01:36:02.298Z] The best model improves the baseline by 14.52%. [2025-08-26T01:36:02.298Z] Top recommended movies for user id 72: [2025-08-26T01:36:02.298Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-26T01:36:02.298Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-26T01:36:02.298Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-26T01:36:02.298Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-26T01:36:02.298Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-26T01:36:02.298Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (22387.983 ms) ====== [2025-08-26T01:36:02.298Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-08-26T01:36:02.298Z] GC before operation: completed in 131.817 ms, heap usage 166.798 MB -> 88.217 MB. [2025-08-26T01:36:06.611Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-26T01:36:09.968Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-26T01:36:13.290Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-26T01:36:16.596Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-26T01:36:18.007Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-26T01:36:20.575Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-26T01:36:23.127Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-26T01:36:24.501Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-26T01:36:24.501Z] 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. [2025-08-26T01:36:24.501Z] The best model improves the baseline by 14.52%. [2025-08-26T01:36:24.869Z] Top recommended movies for user id 72: [2025-08-26T01:36:24.869Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-26T01:36:24.869Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-26T01:36:24.869Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-26T01:36:24.869Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-26T01:36:24.869Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-26T01:36:24.869Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (22338.392 ms) ====== [2025-08-26T01:36:24.869Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-08-26T01:36:24.869Z] GC before operation: completed in 142.806 ms, heap usage 334.892 MB -> 88.565 MB. [2025-08-26T01:36:29.201Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-26T01:36:32.549Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-26T01:36:35.900Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-26T01:36:39.142Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-26T01:36:40.471Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-26T01:36:43.033Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-26T01:36:44.927Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-26T01:36:46.277Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-26T01:36:46.672Z] 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. [2025-08-26T01:36:46.672Z] The best model improves the baseline by 14.52%. [2025-08-26T01:36:46.672Z] Top recommended movies for user id 72: [2025-08-26T01:36:46.673Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-26T01:36:46.673Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-26T01:36:46.673Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-26T01:36:46.673Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-26T01:36:46.673Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-26T01:36:46.673Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21822.861 ms) ====== [2025-08-26T01:36:46.673Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-08-26T01:36:47.065Z] GC before operation: completed in 115.818 ms, heap usage 121.367 MB -> 89.689 MB. [2025-08-26T01:36:50.351Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-26T01:36:53.645Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-26T01:36:56.920Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-26T01:37:00.250Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-26T01:37:02.210Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-26T01:37:04.132Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-26T01:37:06.077Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-26T01:37:07.994Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-26T01:37:07.994Z] 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. [2025-08-26T01:37:07.994Z] The best model improves the baseline by 14.52%. [2025-08-26T01:37:07.994Z] Top recommended movies for user id 72: [2025-08-26T01:37:07.994Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-26T01:37:07.994Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-26T01:37:07.994Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-26T01:37:07.994Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-26T01:37:07.994Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-26T01:37:07.994Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (21177.435 ms) ====== [2025-08-26T01:37:07.994Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-08-26T01:37:07.994Z] GC before operation: completed in 103.772 ms, heap usage 328.462 MB -> 88.634 MB. [2025-08-26T01:37:12.241Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-26T01:37:14.777Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-26T01:37:18.055Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-26T01:37:21.439Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-26T01:37:22.767Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-26T01:37:24.741Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-26T01:37:27.294Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-26T01:37:28.609Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-26T01:37:29.000Z] 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. [2025-08-26T01:37:29.000Z] The best model improves the baseline by 14.52%. [2025-08-26T01:37:29.000Z] Top recommended movies for user id 72: [2025-08-26T01:37:29.000Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-26T01:37:29.000Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-26T01:37:29.000Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-26T01:37:29.000Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-26T01:37:29.394Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-26T01:37:29.394Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21033.950 ms) ====== [2025-08-26T01:37:29.394Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-08-26T01:37:29.394Z] GC before operation: completed in 121.718 ms, heap usage 357.392 MB -> 88.469 MB. [2025-08-26T01:37:32.708Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-26T01:37:35.268Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-26T01:37:38.637Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-26T01:37:41.896Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-26T01:37:43.276Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-26T01:37:45.153Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-26T01:37:47.730Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-26T01:37:49.071Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-26T01:37:49.884Z] 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. [2025-08-26T01:37:49.884Z] The best model improves the baseline by 14.52%. [2025-08-26T01:37:49.884Z] Top recommended movies for user id 72: [2025-08-26T01:37:49.884Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-26T01:37:49.884Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-26T01:37:49.884Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-26T01:37:49.884Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-26T01:37:49.884Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-26T01:37:49.884Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20442.656 ms) ====== [2025-08-26T01:37:49.884Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-08-26T01:37:49.884Z] GC before operation: completed in 108.739 ms, heap usage 447.740 MB -> 88.859 MB. [2025-08-26T01:37:53.215Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-26T01:37:55.825Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-26T01:38:00.155Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-26T01:38:02.135Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-26T01:38:04.016Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-26T01:38:05.918Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-26T01:38:07.869Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-26T01:38:09.753Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-26T01:38:09.754Z] 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. [2025-08-26T01:38:09.754Z] The best model improves the baseline by 14.52%. [2025-08-26T01:38:09.754Z] Top recommended movies for user id 72: [2025-08-26T01:38:09.754Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-26T01:38:09.754Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-26T01:38:09.754Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-26T01:38:09.754Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-26T01:38:09.754Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-26T01:38:09.754Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19996.633 ms) ====== [2025-08-26T01:38:09.754Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-08-26T01:38:10.148Z] GC before operation: completed in 115.595 ms, heap usage 203.336 MB -> 88.556 MB. [2025-08-26T01:38:12.747Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-26T01:38:16.071Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-26T01:38:18.563Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-26T01:38:21.078Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-26T01:38:22.424Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-26T01:38:24.336Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-26T01:38:26.205Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-26T01:38:27.546Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-26T01:38:27.546Z] 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. [2025-08-26T01:38:27.546Z] The best model improves the baseline by 14.52%. [2025-08-26T01:38:27.546Z] Top recommended movies for user id 72: [2025-08-26T01:38:27.546Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-26T01:38:27.546Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-26T01:38:27.546Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-26T01:38:27.546Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-26T01:38:27.546Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-26T01:38:27.546Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (17603.571 ms) ====== [2025-08-26T01:38:27.546Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-08-26T01:38:27.546Z] GC before operation: completed in 101.660 ms, heap usage 389.560 MB -> 88.618 MB. [2025-08-26T01:38:30.122Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-26T01:38:33.457Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-26T01:38:35.353Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-26T01:38:37.922Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-26T01:38:39.922Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-26T01:38:41.256Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-26T01:38:43.097Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-26T01:38:44.459Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-26T01:38:44.871Z] 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. [2025-08-26T01:38:44.871Z] The best model improves the baseline by 14.52%. [2025-08-26T01:38:44.871Z] Top recommended movies for user id 72: [2025-08-26T01:38:44.871Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-26T01:38:44.871Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-26T01:38:44.871Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-26T01:38:44.871Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-26T01:38:44.871Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-26T01:38:44.871Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (17178.853 ms) ====== [2025-08-26T01:38:44.871Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-08-26T01:38:44.871Z] GC before operation: completed in 112.666 ms, heap usage 209.045 MB -> 88.565 MB. [2025-08-26T01:38:48.252Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-26T01:38:52.498Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-26T01:38:55.073Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-26T01:38:58.351Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-26T01:39:00.866Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-26T01:39:02.234Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-26T01:39:04.822Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-26T01:39:06.193Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-26T01:39:06.193Z] 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. [2025-08-26T01:39:06.193Z] The best model improves the baseline by 14.52%. [2025-08-26T01:39:06.601Z] Top recommended movies for user id 72: [2025-08-26T01:39:06.601Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-26T01:39:06.601Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-26T01:39:06.601Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-26T01:39:06.601Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-26T01:39:06.601Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-26T01:39:06.601Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (21501.960 ms) ====== [2025-08-26T01:39:06.601Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-08-26T01:39:06.601Z] GC before operation: completed in 122.345 ms, heap usage 187.865 MB -> 88.722 MB. [2025-08-26T01:39:09.915Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-26T01:39:13.227Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-26T01:39:16.495Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-26T01:39:19.002Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-26T01:39:20.904Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-26T01:39:22.780Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-26T01:39:24.743Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-26T01:39:26.584Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-26T01:39:26.584Z] 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. [2025-08-26T01:39:26.584Z] The best model improves the baseline by 14.52%. [2025-08-26T01:39:26.956Z] Top recommended movies for user id 72: [2025-08-26T01:39:26.956Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-26T01:39:26.956Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-26T01:39:26.956Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-26T01:39:26.956Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-26T01:39:26.956Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-26T01:39:26.956Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (20301.323 ms) ====== [2025-08-26T01:39:26.956Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-08-26T01:39:26.956Z] GC before operation: completed in 100.785 ms, heap usage 282.693 MB -> 88.676 MB. [2025-08-26T01:39:30.299Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-26T01:39:32.798Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-26T01:39:37.053Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-26T01:39:40.306Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-26T01:39:42.235Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-26T01:39:44.789Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-26T01:39:46.651Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-26T01:39:47.994Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-26T01:39:48.391Z] 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. [2025-08-26T01:39:48.391Z] The best model improves the baseline by 14.52%. [2025-08-26T01:39:48.391Z] Top recommended movies for user id 72: [2025-08-26T01:39:48.391Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-26T01:39:48.391Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-26T01:39:48.391Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-26T01:39:48.391Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-26T01:39:48.391Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-26T01:39:48.391Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (21354.668 ms) ====== [2025-08-26T01:39:48.391Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-08-26T01:39:48.391Z] GC before operation: completed in 99.094 ms, heap usage 202.700 MB -> 88.370 MB. [2025-08-26T01:39:51.738Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-26T01:39:55.069Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-26T01:39:58.360Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-26T01:40:01.700Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-26T01:40:03.768Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-26T01:40:05.742Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-26T01:40:07.660Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-26T01:40:09.535Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-26T01:40:09.535Z] 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. [2025-08-26T01:40:09.930Z] The best model improves the baseline by 14.52%. [2025-08-26T01:40:09.930Z] Top recommended movies for user id 72: [2025-08-26T01:40:09.930Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-26T01:40:09.930Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-26T01:40:09.930Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-26T01:40:09.930Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-26T01:40:09.930Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-26T01:40:09.930Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21379.062 ms) ====== [2025-08-26T01:40:09.930Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-08-26T01:40:09.930Z] GC before operation: completed in 104.240 ms, heap usage 374.831 MB -> 88.731 MB. [2025-08-26T01:40:14.299Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-26T01:40:16.853Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-26T01:40:20.173Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-26T01:40:23.431Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-26T01:40:24.820Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-26T01:40:26.858Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-26T01:40:28.815Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-26T01:40:30.704Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-26T01:40:30.704Z] 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. [2025-08-26T01:40:30.704Z] The best model improves the baseline by 14.52%. [2025-08-26T01:40:30.704Z] Top recommended movies for user id 72: [2025-08-26T01:40:30.704Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-08-26T01:40:30.704Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-08-26T01:40:30.704Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-08-26T01:40:30.704Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-08-26T01:40:30.704Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-08-26T01:40:30.704Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (20944.567 ms) ====== [2025-08-26T01:40:31.487Z] ----------------------------------- [2025-08-26T01:40:31.487Z] renaissance-movie-lens_0_PASSED [2025-08-26T01:40:31.487Z] ----------------------------------- [2025-08-26T01:40:31.487Z] [2025-08-26T01:40:31.487Z] TEST TEARDOWN: [2025-08-26T01:40:31.487Z] Nothing to be done for teardown. [2025-08-26T01:40:31.487Z] renaissance-movie-lens_0 Finish Time: Mon Aug 25 18:40:31 2025 Epoch Time (ms): 1756172431063