renaissance-movie-lens_0
[2025-08-28T12:33:26.715Z] Running test renaissance-movie-lens_0 ...
[2025-08-28T12:33:26.715Z] ===============================================
[2025-08-28T12:33:26.715Z] renaissance-movie-lens_0 Start Time: Thu Aug 28 05:33:23 2025 Epoch Time (ms): 1756384403172
[2025-08-28T12:33:26.715Z] variation: NoOptions
[2025-08-28T12:33:26.715Z] JVM_OPTIONS:
[2025-08-28T12:33:26.715Z] { \
[2025-08-28T12:33:26.715Z] echo ""; echo "TEST SETUP:"; \
[2025-08-28T12:33:26.715Z] echo "Nothing to be done for setup."; \
[2025-08-28T12:33:26.715Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17563798899561/renaissance-movie-lens_0"; \
[2025-08-28T12:33:26.715Z] cd "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17563798899561/renaissance-movie-lens_0"; \
[2025-08-28T12:33:26.715Z] echo ""; echo "TESTING:"; \
[2025-08-28T12:33:26.715Z] "/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_17563798899561/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-08-28T12:33:26.715Z] 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_17563798899561/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-08-28T12:33:26.715Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-08-28T12:33:26.715Z] echo "Nothing to be done for teardown."; \
[2025-08-28T12:33:26.715Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17563798899561/TestTargetResult";
[2025-08-28T12:33:26.715Z]
[2025-08-28T12:33:26.715Z] TEST SETUP:
[2025-08-28T12:33:26.715Z] Nothing to be done for setup.
[2025-08-28T12:33:26.715Z]
[2025-08-28T12:33:26.715Z] TESTING:
[2025-08-28T12:33:44.613Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads.
[2025-08-28T12:34:05.796Z] 05:34:02.316 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1866 KiB). The maximum recommended task size is 1000 KiB.
[2025-08-28T12:34:10.767Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-08-28T12:34:13.931Z] Training: 60056, validation: 20285, test: 19854
[2025-08-28T12:34:13.931Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-08-28T12:34:13.931Z] GC before operation: completed in 499.748 ms, heap usage 210.573 MB -> 74.506 MB.
[2025-08-28T12:34:40.091Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T12:34:58.980Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T12:35:14.968Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T12:35:30.642Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T12:35:36.679Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T12:35:46.507Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T12:35:55.667Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T12:36:02.115Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T12:36:03.744Z] 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.
[2025-08-28T12:36:03.744Z] The best model improves the baseline by 14.52%.
[2025-08-28T12:36:04.216Z] Top recommended movies for user id 72:
[2025-08-28T12:36:04.216Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-28T12:36:04.216Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-28T12:36:04.216Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-28T12:36:04.216Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-28T12:36:04.216Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-28T12:36:04.216Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (110282.865 ms) ======
[2025-08-28T12:36:04.216Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-08-28T12:36:04.789Z] GC before operation: completed in 469.583 ms, heap usage 370.871 MB -> 97.709 MB.
[2025-08-28T12:36:20.324Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T12:36:35.892Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T12:36:46.680Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T12:36:58.053Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T12:37:07.264Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T12:37:13.914Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T12:37:21.271Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T12:37:28.963Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T12:37:29.407Z] 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.
[2025-08-28T12:37:29.883Z] The best model improves the baseline by 14.52%.
[2025-08-28T12:37:30.373Z] Top recommended movies for user id 72:
[2025-08-28T12:37:30.373Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-28T12:37:30.373Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-28T12:37:30.373Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-28T12:37:30.373Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-28T12:37:30.373Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-28T12:37:30.373Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (85454.974 ms) ======
[2025-08-28T12:37:30.373Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-08-28T12:37:30.843Z] GC before operation: completed in 580.056 ms, heap usage 108.878 MB -> 86.861 MB.
[2025-08-28T12:37:49.337Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T12:38:00.112Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T12:38:13.328Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T12:38:24.230Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T12:38:31.683Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T12:38:39.283Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T12:38:48.174Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T12:38:54.285Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T12:38:55.428Z] 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.
[2025-08-28T12:38:55.428Z] The best model improves the baseline by 14.52%.
[2025-08-28T12:38:55.959Z] Top recommended movies for user id 72:
[2025-08-28T12:38:55.959Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-28T12:38:55.959Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-28T12:38:55.959Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-28T12:38:55.959Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-28T12:38:55.959Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-28T12:38:55.959Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (85164.690 ms) ======
[2025-08-28T12:38:55.959Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-08-28T12:38:56.453Z] GC before operation: completed in 402.290 ms, heap usage 514.744 MB -> 93.104 MB.
[2025-08-28T12:39:15.291Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T12:39:28.110Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T12:39:43.713Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T12:39:56.134Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T12:40:04.068Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T12:40:11.701Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T12:40:20.729Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T12:40:29.656Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T12:40:30.166Z] 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.
[2025-08-28T12:40:30.667Z] The best model improves the baseline by 14.52%.
[2025-08-28T12:40:31.185Z] Top recommended movies for user id 72:
[2025-08-28T12:40:31.185Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-28T12:40:31.185Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-28T12:40:31.185Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-28T12:40:31.185Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-28T12:40:31.185Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-28T12:40:31.185Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (94632.390 ms) ======
[2025-08-28T12:40:31.185Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-08-28T12:40:31.706Z] GC before operation: completed in 542.354 ms, heap usage 720.822 MB -> 91.931 MB.
[2025-08-28T12:40:49.804Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T12:41:02.496Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T12:41:20.570Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T12:41:33.826Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T12:41:40.132Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T12:41:47.042Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T12:41:55.878Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T12:42:02.866Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T12:42:03.364Z] 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.
[2025-08-28T12:42:03.364Z] The best model improves the baseline by 14.52%.
[2025-08-28T12:42:04.391Z] Top recommended movies for user id 72:
[2025-08-28T12:42:04.391Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-28T12:42:04.391Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-28T12:42:04.391Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-28T12:42:04.391Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-28T12:42:04.391Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-28T12:42:04.391Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (92538.656 ms) ======
[2025-08-28T12:42:04.391Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-08-28T12:42:04.391Z] GC before operation: completed in 433.272 ms, heap usage 433.918 MB -> 88.248 MB.
[2025-08-28T12:42:22.488Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T12:42:35.173Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T12:42:47.965Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T12:42:58.708Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T12:43:05.735Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T12:43:12.980Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T12:43:21.502Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T12:43:26.158Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T12:43:28.911Z] 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.
[2025-08-28T12:43:28.911Z] The best model improves the baseline by 14.52%.
[2025-08-28T12:43:28.911Z] Top recommended movies for user id 72:
[2025-08-28T12:43:28.911Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-28T12:43:28.911Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-28T12:43:28.911Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-28T12:43:28.911Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-28T12:43:28.911Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-28T12:43:28.911Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (84423.296 ms) ======
[2025-08-28T12:43:28.911Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-08-28T12:43:29.369Z] GC before operation: completed in 477.705 ms, heap usage 366.203 MB -> 90.217 MB.
[2025-08-28T12:43:47.436Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T12:43:59.775Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T12:44:12.886Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T12:44:25.620Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T12:44:33.275Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T12:44:40.683Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T12:44:48.421Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T12:44:57.455Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T12:44:58.473Z] 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.
[2025-08-28T12:44:58.473Z] The best model improves the baseline by 14.52%.
[2025-08-28T12:44:59.025Z] Top recommended movies for user id 72:
[2025-08-28T12:44:59.025Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-28T12:44:59.025Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-28T12:44:59.025Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-28T12:44:59.025Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-28T12:44:59.025Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-28T12:44:59.025Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (89528.520 ms) ======
[2025-08-28T12:44:59.025Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-08-28T12:45:00.112Z] GC before operation: completed in 1089.694 ms, heap usage 309.103 MB -> 88.320 MB.
[2025-08-28T12:45:18.512Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T12:45:33.260Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T12:45:45.899Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T12:45:58.911Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T12:46:07.746Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T12:46:14.896Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T12:46:23.430Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T12:46:30.703Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T12:46:31.802Z] 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.
[2025-08-28T12:46:31.802Z] The best model improves the baseline by 14.52%.
[2025-08-28T12:46:32.408Z] Top recommended movies for user id 72:
[2025-08-28T12:46:32.408Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-28T12:46:32.408Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-28T12:46:32.408Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-28T12:46:32.408Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-28T12:46:32.408Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-28T12:46:32.408Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (92149.679 ms) ======
[2025-08-28T12:46:32.408Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-08-28T12:46:33.447Z] GC before operation: completed in 1196.644 ms, heap usage 579.291 MB -> 92.154 MB.
[2025-08-28T12:46:48.904Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T12:47:03.953Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T12:47:17.021Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T12:47:29.316Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T12:47:36.561Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T12:47:43.992Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T12:47:52.529Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T12:47:58.396Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T12:47:59.284Z] 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.
[2025-08-28T12:47:59.284Z] The best model improves the baseline by 14.52%.
[2025-08-28T12:47:59.729Z] Top recommended movies for user id 72:
[2025-08-28T12:47:59.729Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-28T12:47:59.729Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-28T12:47:59.729Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-28T12:47:59.729Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-28T12:47:59.729Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-28T12:47:59.729Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (86150.660 ms) ======
[2025-08-28T12:47:59.729Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-08-28T12:48:00.254Z] GC before operation: completed in 587.619 ms, heap usage 647.365 MB -> 92.113 MB.
[2025-08-28T12:48:18.474Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T12:48:30.988Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T12:48:44.215Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T12:48:56.879Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T12:49:04.527Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T12:49:10.699Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T12:49:17.996Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T12:49:25.165Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T12:49:26.140Z] 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.
[2025-08-28T12:49:26.140Z] The best model improves the baseline by 14.52%.
[2025-08-28T12:49:26.580Z] Top recommended movies for user id 72:
[2025-08-28T12:49:26.580Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-28T12:49:26.580Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-28T12:49:26.580Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-28T12:49:26.580Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-28T12:49:26.580Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-28T12:49:26.580Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (86272.078 ms) ======
[2025-08-28T12:49:26.580Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-08-28T12:49:27.012Z] GC before operation: completed in 405.759 ms, heap usage 446.278 MB -> 88.846 MB.
[2025-08-28T12:49:42.514Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T12:49:55.507Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T12:50:08.338Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T12:50:23.094Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T12:50:29.051Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T12:50:36.485Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T12:50:43.887Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T12:50:52.475Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T12:50:52.475Z] 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.
[2025-08-28T12:50:53.041Z] The best model improves the baseline by 14.52%.
[2025-08-28T12:50:53.041Z] Top recommended movies for user id 72:
[2025-08-28T12:50:53.041Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-28T12:50:53.041Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-28T12:50:53.041Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-28T12:50:53.041Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-28T12:50:53.041Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-28T12:50:53.041Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (86286.623 ms) ======
[2025-08-28T12:50:53.041Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-08-28T12:50:53.465Z] GC before operation: completed in 505.793 ms, heap usage 412.798 MB -> 88.534 MB.
[2025-08-28T12:51:08.527Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T12:51:24.045Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T12:51:39.448Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T12:51:51.081Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T12:51:57.266Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T12:52:05.925Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T12:52:16.481Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T12:52:22.960Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T12:52:22.960Z] 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.
[2025-08-28T12:52:22.960Z] The best model improves the baseline by 14.52%.
[2025-08-28T12:52:23.616Z] Top recommended movies for user id 72:
[2025-08-28T12:52:23.616Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-28T12:52:23.616Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-28T12:52:23.616Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-28T12:52:23.616Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-28T12:52:23.616Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-28T12:52:23.616Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (89797.960 ms) ======
[2025-08-28T12:52:23.616Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-08-28T12:52:24.167Z] GC before operation: completed in 490.866 ms, heap usage 102.312 MB -> 88.756 MB.
[2025-08-28T12:52:39.258Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T12:52:54.437Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T12:53:06.961Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T12:53:19.496Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T12:53:26.716Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T12:53:34.015Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T12:53:42.942Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T12:53:49.867Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T12:53:50.532Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983.
[2025-08-28T12:53:51.073Z] The best model improves the baseline by 14.52%.
[2025-08-28T12:53:52.140Z] Top recommended movies for user id 72:
[2025-08-28T12:53:52.140Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-28T12:53:52.140Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-28T12:53:52.140Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-28T12:53:52.140Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-28T12:53:52.140Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-28T12:53:52.140Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (87952.238 ms) ======
[2025-08-28T12:53:52.140Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-08-28T12:53:52.687Z] GC before operation: completed in 454.847 ms, heap usage 292.624 MB -> 88.762 MB.
[2025-08-28T12:54:07.411Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T12:54:22.207Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T12:54:33.186Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T12:54:45.916Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T12:54:53.871Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T12:54:59.358Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T12:55:06.890Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T12:55:17.249Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T12:55:17.249Z] 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.
[2025-08-28T12:55:17.249Z] The best model improves the baseline by 14.52%.
[2025-08-28T12:55:17.249Z] Top recommended movies for user id 72:
[2025-08-28T12:55:17.249Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-28T12:55:17.249Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-28T12:55:17.249Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-28T12:55:17.249Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-28T12:55:17.249Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-28T12:55:17.249Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (84786.149 ms) ======
[2025-08-28T12:55:17.249Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-08-28T12:55:17.722Z] GC before operation: completed in 512.434 ms, heap usage 323.721 MB -> 88.496 MB.
[2025-08-28T12:55:32.899Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T12:55:48.370Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T12:56:01.237Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T12:56:16.583Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T12:56:24.223Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T12:56:31.864Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T12:56:37.675Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T12:56:46.269Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T12:56:47.879Z] 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.
[2025-08-28T12:56:48.412Z] The best model improves the baseline by 14.52%.
[2025-08-28T12:56:48.880Z] Top recommended movies for user id 72:
[2025-08-28T12:56:48.880Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-28T12:56:48.880Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-28T12:56:48.880Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-28T12:56:48.880Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-28T12:56:48.880Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-28T12:56:48.880Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (90938.361 ms) ======
[2025-08-28T12:56:48.880Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-08-28T12:56:49.276Z] GC before operation: completed in 466.427 ms, heap usage 180.962 MB -> 89.600 MB.
[2025-08-28T12:57:04.681Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T12:57:19.765Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T12:57:32.956Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T12:57:47.896Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T12:57:55.478Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T12:58:03.724Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T12:58:12.880Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T12:58:19.697Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T12:58:20.614Z] 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.
[2025-08-28T12:58:20.614Z] The best model improves the baseline by 14.52%.
[2025-08-28T12:58:21.100Z] Top recommended movies for user id 72:
[2025-08-28T12:58:21.100Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-28T12:58:21.100Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-28T12:58:21.100Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-28T12:58:21.100Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-28T12:58:21.100Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-28T12:58:21.100Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (91846.949 ms) ======
[2025-08-28T12:58:21.100Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-08-28T12:58:21.100Z] GC before operation: completed in 359.637 ms, heap usage 521.572 MB -> 92.073 MB.
[2025-08-28T12:58:39.256Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T12:58:49.874Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T12:59:02.270Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T12:59:12.544Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T12:59:19.657Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T12:59:28.308Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T12:59:35.584Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T12:59:42.645Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T12:59:43.787Z] 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.
[2025-08-28T12:59:43.787Z] The best model improves the baseline by 14.52%.
[2025-08-28T12:59:44.327Z] Top recommended movies for user id 72:
[2025-08-28T12:59:44.327Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-28T12:59:44.327Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-28T12:59:44.327Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-28T12:59:44.327Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-28T12:59:44.327Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-28T12:59:44.327Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (83049.165 ms) ======
[2025-08-28T12:59:44.327Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-08-28T12:59:45.352Z] GC before operation: completed in 862.188 ms, heap usage 328.347 MB -> 88.653 MB.
[2025-08-28T12:59:58.266Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T13:00:11.145Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T13:00:23.787Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T13:00:34.136Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T13:00:38.630Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T13:00:46.215Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T13:00:55.408Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T13:01:02.572Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T13:01:03.089Z] 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.
[2025-08-28T13:01:03.533Z] The best model improves the baseline by 14.52%.
[2025-08-28T13:01:04.023Z] Top recommended movies for user id 72:
[2025-08-28T13:01:04.023Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-28T13:01:04.023Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-28T13:01:04.023Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-28T13:01:04.023Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-28T13:01:04.023Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-28T13:01:04.023Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (78693.056 ms) ======
[2025-08-28T13:01:04.023Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-08-28T13:01:04.538Z] GC before operation: completed in 469.212 ms, heap usage 206.024 MB -> 88.340 MB.
[2025-08-28T13:01:23.313Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T13:01:38.423Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T13:01:48.753Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T13:01:59.454Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T13:02:07.843Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T13:02:11.541Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T13:02:18.584Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T13:02:23.248Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T13:02:24.177Z] 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.
[2025-08-28T13:02:24.177Z] The best model improves the baseline by 14.52%.
[2025-08-28T13:02:24.748Z] Top recommended movies for user id 72:
[2025-08-28T13:02:24.748Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-28T13:02:24.748Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-28T13:02:24.748Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-28T13:02:24.748Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-28T13:02:24.748Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-28T13:02:24.748Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (80013.182 ms) ======
[2025-08-28T13:02:24.748Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-08-28T13:02:24.748Z] GC before operation: completed in 388.535 ms, heap usage 482.196 MB -> 88.865 MB.
[2025-08-28T13:02:37.595Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T13:02:47.711Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T13:02:54.800Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T13:03:03.104Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T13:03:08.724Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T13:03:15.740Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T13:03:20.632Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T13:03:22.120Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T13:03:22.612Z] 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.
[2025-08-28T13:03:23.029Z] The best model improves the baseline by 14.52%.
[2025-08-28T13:03:23.029Z] Top recommended movies for user id 72:
[2025-08-28T13:03:23.029Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-28T13:03:23.029Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-28T13:03:23.029Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-28T13:03:23.029Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-28T13:03:23.029Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-28T13:03:23.029Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (58399.275 ms) ======
[2025-08-28T13:03:24.966Z] -----------------------------------
[2025-08-28T13:03:24.966Z] renaissance-movie-lens_0_PASSED
[2025-08-28T13:03:24.966Z] -----------------------------------
[2025-08-28T13:03:24.966Z]
[2025-08-28T13:03:24.966Z] TEST TEARDOWN:
[2025-08-28T13:03:24.966Z] Nothing to be done for teardown.
[2025-08-28T13:03:25.398Z] renaissance-movie-lens_0 Finish Time: Thu Aug 28 06:03:22 2025 Epoch Time (ms): 1756386202391