renaissance-movie-lens_0
[2025-08-13T21:29:52.942Z] Running test renaissance-movie-lens_0 ...
[2025-08-13T21:29:52.942Z] ===============================================
[2025-08-13T21:29:52.942Z] renaissance-movie-lens_0 Start Time: Wed Aug 13 14:29:52 2025 Epoch Time (ms): 1755120592438
[2025-08-13T21:29:52.942Z] variation: NoOptions
[2025-08-13T21:29:52.942Z] JVM_OPTIONS:
[2025-08-13T21:29:52.942Z] { \
[2025-08-13T21:29:52.942Z] echo ""; echo "TEST SETUP:"; \
[2025-08-13T21:29:52.942Z] echo "Nothing to be done for setup."; \
[2025-08-13T21:29:52.942Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17551174266516/renaissance-movie-lens_0"; \
[2025-08-13T21:29:52.942Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17551174266516/renaissance-movie-lens_0"; \
[2025-08-13T21:29:52.942Z] echo ""; echo "TESTING:"; \
[2025-08-13T21:29:52.942Z] "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/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_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17551174266516/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-08-13T21:29:52.943Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17551174266516/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-08-13T21:29:52.943Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-08-13T21:29:52.943Z] echo "Nothing to be done for teardown."; \
[2025-08-13T21:29:52.943Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17551174266516/TestTargetResult";
[2025-08-13T21:29:52.943Z]
[2025-08-13T21:29:52.943Z] TEST SETUP:
[2025-08-13T21:29:52.943Z] Nothing to be done for setup.
[2025-08-13T21:29:52.943Z]
[2025-08-13T21:29:52.943Z] TESTING:
[2025-08-13T21:30:07.999Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads.
[2025-08-13T21:30:25.923Z] 14:30:23.324 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.
[2025-08-13T21:30:29.954Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-08-13T21:30:31.516Z] Training: 60056, validation: 20285, test: 19854
[2025-08-13T21:30:31.516Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-08-13T21:30:31.999Z] GC before operation: completed in 311.530 ms, heap usage 531.368 MB -> 76.115 MB.
[2025-08-13T21:30:53.869Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T21:31:06.953Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T21:31:17.904Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T21:31:29.636Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T21:31:35.412Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T21:31:41.335Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T21:31:47.125Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T21:31:52.968Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T21:31:52.968Z] 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.
[2025-08-13T21:31:53.401Z] The best model improves the baseline by 14.52%.
[2025-08-13T21:31:54.009Z] Top recommended movies for user id 72:
[2025-08-13T21:31:54.009Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T21:31:54.009Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T21:31:54.009Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T21:31:54.009Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T21:31:54.009Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T21:31:54.009Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (82067.569 ms) ======
[2025-08-13T21:31:54.009Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-08-13T21:31:54.009Z] GC before operation: completed in 206.942 ms, heap usage 170.027 MB -> 87.594 MB.
[2025-08-13T21:32:04.455Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T21:32:14.320Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T21:32:29.799Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T21:32:41.791Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T21:32:47.384Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T21:32:54.239Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T21:33:02.031Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T21:33:09.467Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T21:33:11.139Z] 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.
[2025-08-13T21:33:11.139Z] The best model improves the baseline by 14.52%.
[2025-08-13T21:33:11.603Z] Top recommended movies for user id 72:
[2025-08-13T21:33:11.603Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T21:33:11.603Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T21:33:11.603Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T21:33:11.603Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T21:33:11.603Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T21:33:11.603Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (77357.665 ms) ======
[2025-08-13T21:33:11.603Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-08-13T21:33:11.603Z] GC before operation: completed in 292.649 ms, heap usage 95.809 MB -> 88.404 MB.
[2025-08-13T21:33:24.084Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T21:33:34.495Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T21:33:47.054Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T21:33:59.465Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T21:34:06.845Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T21:34:12.519Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T21:34:19.872Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T21:34:25.880Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T21:34:26.927Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983.
[2025-08-13T21:34:26.927Z] The best model improves the baseline by 14.52%.
[2025-08-13T21:34:27.374Z] Top recommended movies for user id 72:
[2025-08-13T21:34:27.374Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T21:34:27.374Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T21:34:27.374Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T21:34:27.374Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T21:34:27.374Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T21:34:27.374Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (75573.732 ms) ======
[2025-08-13T21:34:27.374Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-08-13T21:34:27.821Z] GC before operation: completed in 303.448 ms, heap usage 137.353 MB -> 88.868 MB.
[2025-08-13T21:34:37.928Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T21:34:46.829Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T21:34:58.902Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T21:35:07.448Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T21:35:14.275Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T21:35:20.113Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T21:35:26.134Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T21:35:31.829Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T21:35:32.894Z] 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.
[2025-08-13T21:35:32.894Z] The best model improves the baseline by 14.52%.
[2025-08-13T21:35:34.053Z] Top recommended movies for user id 72:
[2025-08-13T21:35:34.053Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T21:35:34.053Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T21:35:34.053Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T21:35:34.053Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T21:35:34.053Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T21:35:34.053Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (66181.034 ms) ======
[2025-08-13T21:35:34.053Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-08-13T21:35:34.510Z] GC before operation: completed in 380.681 ms, heap usage 347.273 MB -> 89.534 MB.
[2025-08-13T21:35:46.943Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T21:35:55.517Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T21:36:05.934Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T21:36:16.266Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T21:36:25.031Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T21:36:29.610Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T21:36:37.012Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T21:36:43.228Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T21:36:45.432Z] 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.
[2025-08-13T21:36:45.432Z] The best model improves the baseline by 14.52%.
[2025-08-13T21:36:45.875Z] Top recommended movies for user id 72:
[2025-08-13T21:36:45.875Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T21:36:45.875Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T21:36:45.875Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T21:36:45.875Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T21:36:45.875Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T21:36:45.875Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (71303.969 ms) ======
[2025-08-13T21:36:45.875Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-08-13T21:36:45.875Z] GC before operation: completed in 421.527 ms, heap usage 286.319 MB -> 89.375 MB.
[2025-08-13T21:37:00.280Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T21:37:10.604Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T21:37:23.890Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T21:37:34.287Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T21:37:43.434Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T21:37:49.143Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T21:37:58.025Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T21:38:04.021Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T21:38:04.656Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983.
[2025-08-13T21:38:04.656Z] The best model improves the baseline by 14.52%.
[2025-08-13T21:38:05.902Z] Top recommended movies for user id 72:
[2025-08-13T21:38:05.903Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T21:38:05.903Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T21:38:05.903Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T21:38:05.903Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T21:38:05.903Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T21:38:05.903Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (79571.243 ms) ======
[2025-08-13T21:38:05.903Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-08-13T21:38:05.903Z] GC before operation: completed in 193.853 ms, heap usage 167.307 MB -> 89.540 MB.
[2025-08-13T21:38:20.838Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T21:38:33.373Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T21:38:45.879Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T21:38:59.012Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T21:39:03.804Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T21:39:09.878Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T21:39:17.200Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T21:39:24.127Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T21:39:25.064Z] 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.
[2025-08-13T21:39:25.064Z] The best model improves the baseline by 14.52%.
[2025-08-13T21:39:25.460Z] Top recommended movies for user id 72:
[2025-08-13T21:39:25.460Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T21:39:25.460Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T21:39:25.460Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T21:39:25.460Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T21:39:25.460Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T21:39:25.460Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (80041.008 ms) ======
[2025-08-13T21:39:25.460Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-08-13T21:39:25.954Z] GC before operation: completed in 370.529 ms, heap usage 186.226 MB -> 89.611 MB.
[2025-08-13T21:39:38.457Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T21:39:50.933Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T21:40:03.682Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T21:40:12.411Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T21:40:20.936Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T21:40:26.524Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T21:40:32.957Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T21:40:38.716Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T21:40:39.106Z] 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.
[2025-08-13T21:40:39.106Z] The best model improves the baseline by 14.52%.
[2025-08-13T21:40:40.684Z] Top recommended movies for user id 72:
[2025-08-13T21:40:40.684Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T21:40:40.684Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T21:40:40.684Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T21:40:40.684Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T21:40:40.684Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T21:40:40.684Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (73581.308 ms) ======
[2025-08-13T21:40:40.684Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-08-13T21:40:40.684Z] GC before operation: completed in 434.128 ms, heap usage 1.013 GB -> 95.114 MB.
[2025-08-13T21:40:53.002Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T21:41:03.151Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T21:41:13.485Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T21:41:25.584Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T21:41:30.635Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T21:41:36.276Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T21:41:43.825Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T21:41:51.234Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T21:41:51.234Z] 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.
[2025-08-13T21:41:51.234Z] The best model improves the baseline by 14.52%.
[2025-08-13T21:41:51.875Z] Top recommended movies for user id 72:
[2025-08-13T21:41:51.875Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T21:41:51.875Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T21:41:51.875Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T21:41:51.875Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T21:41:51.875Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T21:41:51.875Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (71729.956 ms) ======
[2025-08-13T21:41:51.875Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-08-13T21:41:52.356Z] GC before operation: completed in 501.201 ms, heap usage 283.271 MB -> 89.822 MB.
[2025-08-13T21:42:02.534Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T21:42:12.638Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T21:42:23.123Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T21:42:31.534Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T21:42:37.749Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T21:42:42.565Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T21:42:48.569Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T21:42:55.872Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T21:42:55.872Z] 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.
[2025-08-13T21:42:56.295Z] The best model improves the baseline by 14.52%.
[2025-08-13T21:42:56.904Z] Top recommended movies for user id 72:
[2025-08-13T21:42:56.904Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T21:42:56.904Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T21:42:56.904Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T21:42:56.904Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T21:42:56.904Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T21:42:56.904Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (64039.649 ms) ======
[2025-08-13T21:42:56.904Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-08-13T21:42:56.904Z] GC before operation: completed in 372.888 ms, heap usage 720.947 MB -> 93.888 MB.
[2025-08-13T21:43:09.167Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T21:43:21.445Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T21:43:32.222Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T21:43:42.875Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T21:43:48.420Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T21:43:55.765Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T21:44:02.643Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T21:44:08.972Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T21:44:09.411Z] 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.
[2025-08-13T21:44:09.411Z] The best model improves the baseline by 14.52%.
[2025-08-13T21:44:09.857Z] Top recommended movies for user id 72:
[2025-08-13T21:44:09.857Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T21:44:09.857Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T21:44:09.857Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T21:44:09.857Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T21:44:09.857Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T21:44:09.857Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (73147.375 ms) ======
[2025-08-13T21:44:09.857Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-08-13T21:44:10.300Z] GC before operation: completed in 381.693 ms, heap usage 223.890 MB -> 89.669 MB.
[2025-08-13T21:44:23.378Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T21:44:34.190Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T21:44:44.464Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T21:44:54.834Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T21:45:00.959Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T21:45:06.715Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T21:45:12.485Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T21:45:19.755Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T21:45:19.755Z] 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.
[2025-08-13T21:45:19.755Z] The best model improves the baseline by 14.52%.
[2025-08-13T21:45:20.833Z] Top recommended movies for user id 72:
[2025-08-13T21:45:20.833Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T21:45:20.833Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T21:45:20.833Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T21:45:20.833Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T21:45:20.833Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T21:45:20.833Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (70213.983 ms) ======
[2025-08-13T21:45:20.833Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-08-13T21:45:20.833Z] GC before operation: completed in 456.129 ms, heap usage 122.497 MB -> 93.018 MB.
[2025-08-13T21:45:36.292Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T21:45:45.168Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T21:45:57.669Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T21:46:06.309Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T21:46:11.997Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T21:46:17.991Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T21:46:25.151Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T21:46:31.159Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T21:46:32.124Z] 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.
[2025-08-13T21:46:32.124Z] The best model improves the baseline by 14.52%.
[2025-08-13T21:46:33.056Z] Top recommended movies for user id 72:
[2025-08-13T21:46:33.056Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T21:46:33.056Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T21:46:33.056Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T21:46:33.056Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T21:46:33.056Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T21:46:33.056Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (71617.880 ms) ======
[2025-08-13T21:46:33.056Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-08-13T21:46:33.056Z] GC before operation: completed in 362.101 ms, heap usage 351.303 MB -> 90.118 MB.
[2025-08-13T21:46:45.252Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T21:46:57.954Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T21:47:08.704Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T21:47:17.641Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T21:47:24.959Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T21:47:32.511Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T21:47:38.129Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T21:47:44.333Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T21:47:44.769Z] 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.
[2025-08-13T21:47:44.769Z] The best model improves the baseline by 14.52%.
[2025-08-13T21:47:45.223Z] Top recommended movies for user id 72:
[2025-08-13T21:47:45.223Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T21:47:45.223Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T21:47:45.223Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T21:47:45.223Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T21:47:45.223Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T21:47:45.223Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (72418.371 ms) ======
[2025-08-13T21:47:45.223Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-08-13T21:47:45.794Z] GC before operation: completed in 362.935 ms, heap usage 228.015 MB -> 89.712 MB.
[2025-08-13T21:47:57.991Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T21:48:06.731Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T21:48:17.210Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T21:48:29.828Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T21:48:34.930Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T21:48:42.114Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T21:48:49.337Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T21:48:58.094Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T21:48:58.094Z] 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.
[2025-08-13T21:48:58.094Z] The best model improves the baseline by 14.52%.
[2025-08-13T21:48:58.094Z] Top recommended movies for user id 72:
[2025-08-13T21:48:58.094Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T21:48:58.094Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T21:48:58.094Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T21:48:58.094Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T21:48:58.094Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T21:48:58.094Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (71733.920 ms) ======
[2025-08-13T21:48:58.094Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-08-13T21:48:58.094Z] GC before operation: completed in 513.193 ms, heap usage 465.265 MB -> 90.344 MB.
[2025-08-13T21:49:08.601Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T21:49:18.874Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T21:49:31.103Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T21:49:39.622Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T21:49:45.687Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T21:49:52.436Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T21:49:57.861Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T21:50:02.797Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T21:50:03.665Z] 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.
[2025-08-13T21:50:03.665Z] The best model improves the baseline by 14.52%.
[2025-08-13T21:50:04.096Z] Top recommended movies for user id 72:
[2025-08-13T21:50:04.096Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T21:50:04.096Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T21:50:04.096Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T21:50:04.096Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T21:50:04.096Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T21:50:04.096Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (66093.660 ms) ======
[2025-08-13T21:50:04.096Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-08-13T21:50:04.573Z] GC before operation: completed in 232.509 ms, heap usage 443.222 MB -> 90.210 MB.
[2025-08-13T21:50:16.955Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T21:50:27.125Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T21:50:37.726Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T21:50:47.764Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T21:50:53.894Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T21:50:59.535Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T21:51:05.331Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T21:51:11.068Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T21:51:11.562Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983.
[2025-08-13T21:51:11.562Z] The best model improves the baseline by 14.52%.
[2025-08-13T21:51:12.307Z] Top recommended movies for user id 72:
[2025-08-13T21:51:12.307Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T21:51:12.307Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T21:51:12.307Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T21:51:12.307Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T21:51:12.307Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T21:51:12.307Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (67853.954 ms) ======
[2025-08-13T21:51:12.307Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-08-13T21:51:12.858Z] GC before operation: completed in 744.334 ms, heap usage 484.366 MB -> 90.348 MB.
[2025-08-13T21:51:23.403Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T21:51:33.529Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T21:51:42.690Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T21:51:49.857Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T21:51:56.592Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T21:52:02.703Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T21:52:06.314Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T21:52:11.013Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T21:52:12.111Z] 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.
[2025-08-13T21:52:12.111Z] The best model improves the baseline by 14.52%.
[2025-08-13T21:52:12.788Z] Top recommended movies for user id 72:
[2025-08-13T21:52:12.788Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T21:52:12.788Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T21:52:12.788Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T21:52:12.788Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T21:52:12.788Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T21:52:12.788Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (59617.529 ms) ======
[2025-08-13T21:52:12.788Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-08-13T21:52:13.323Z] GC before operation: completed in 459.294 ms, heap usage 158.948 MB -> 94.062 MB.
[2025-08-13T21:52:25.463Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T21:52:34.262Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T21:52:44.940Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T21:52:55.286Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T21:52:59.816Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T21:53:06.094Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T21:53:09.955Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T21:53:14.963Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T21:53:15.864Z] 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.
[2025-08-13T21:53:15.864Z] The best model improves the baseline by 14.52%.
[2025-08-13T21:53:16.300Z] Top recommended movies for user id 72:
[2025-08-13T21:53:16.300Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T21:53:16.300Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T21:53:16.300Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T21:53:16.300Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T21:53:16.300Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T21:53:16.300Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (63333.073 ms) ======
[2025-08-13T21:53:16.300Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-08-13T21:53:16.728Z] GC before operation: completed in 256.830 ms, heap usage 187.890 MB -> 89.834 MB.
[2025-08-13T21:53:26.453Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T21:53:36.696Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T21:53:45.291Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T21:53:54.164Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T21:53:59.281Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T21:54:06.126Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T21:54:11.117Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T21:54:17.019Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T21:54:17.587Z] 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.
[2025-08-13T21:54:17.587Z] The best model improves the baseline by 14.52%.
[2025-08-13T21:54:17.963Z] Top recommended movies for user id 72:
[2025-08-13T21:54:17.963Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T21:54:17.963Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T21:54:17.963Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T21:54:17.963Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T21:54:17.963Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T21:54:17.963Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (61191.327 ms) ======
[2025-08-13T21:54:20.847Z] -----------------------------------
[2025-08-13T21:54:20.847Z] renaissance-movie-lens_0_PASSED
[2025-08-13T21:54:20.847Z] -----------------------------------
[2025-08-13T21:54:20.847Z]
[2025-08-13T21:54:20.847Z] TEST TEARDOWN:
[2025-08-13T21:54:20.847Z] Nothing to be done for teardown.
[2025-08-13T21:54:21.233Z] renaissance-movie-lens_0 Finish Time: Wed Aug 13 14:54:20 2025 Epoch Time (ms): 1755122060638