renaissance-movie-lens_0
[2025-07-01T07:29:05.013Z] Running test renaissance-movie-lens_0 ...
[2025-07-01T07:29:05.013Z] ===============================================
[2025-07-01T07:29:05.532Z] renaissance-movie-lens_0 Start Time: Tue Jul 1 00:29:05 2025 Epoch Time (ms): 1751354945215
[2025-07-01T07:29:05.997Z] variation: NoOptions
[2025-07-01T07:29:05.997Z] JVM_OPTIONS:
[2025-07-01T07:29:05.997Z] { \
[2025-07-01T07:29:05.997Z] echo ""; echo "TEST SETUP:"; \
[2025-07-01T07:29:05.997Z] echo "Nothing to be done for setup."; \
[2025-07-01T07:29:05.997Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_1751349785180/renaissance-movie-lens_0"; \
[2025-07-01T07:29:05.997Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_1751349785180/renaissance-movie-lens_0"; \
[2025-07-01T07:29:05.997Z] echo ""; echo "TESTING:"; \
[2025-07-01T07:29:05.997Z] "/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_1751349785180/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-07-01T07:29:05.997Z] 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_1751349785180/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-07-01T07:29:05.997Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-07-01T07:29:05.997Z] echo "Nothing to be done for teardown."; \
[2025-07-01T07:29:05.997Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_1751349785180/TestTargetResult";
[2025-07-01T07:29:05.997Z]
[2025-07-01T07:29:05.997Z] TEST SETUP:
[2025-07-01T07:29:05.997Z] Nothing to be done for setup.
[2025-07-01T07:29:06.466Z]
[2025-07-01T07:29:06.466Z] TESTING:
[2025-07-01T07:29:28.185Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads.
[2025-07-01T07:29:38.286Z] 00:29:36.554 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.
[2025-07-01T07:29:41.213Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-07-01T07:29:42.403Z] Training: 60056, validation: 20285, test: 19854
[2025-07-01T07:29:42.403Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-07-01T07:29:42.925Z] GC before operation: completed in 251.244 ms, heap usage 256.519 MB -> 75.496 MB.
[2025-07-01T07:30:09.469Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T07:30:20.638Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T07:30:36.251Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T07:30:47.652Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T07:30:54.778Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T07:31:02.765Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T07:31:07.490Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T07:31:16.250Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T07:31:17.300Z] 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.
[2025-07-01T07:31:17.300Z] The best model improves the baseline by 14.52%.
[2025-07-01T07:31:17.811Z] Top recommended movies for user id 72:
[2025-07-01T07:31:17.811Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-07-01T07:31:17.811Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-07-01T07:31:17.811Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-07-01T07:31:17.811Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-07-01T07:31:17.811Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-07-01T07:31:17.811Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (94749.013 ms) ======
[2025-07-01T07:31:17.811Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-07-01T07:31:17.811Z] GC before operation: completed in 318.395 ms, heap usage 405.156 MB -> 90.348 MB.
[2025-07-01T07:31:33.930Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T07:31:46.668Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T07:31:59.637Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T07:32:12.459Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T07:32:21.572Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T07:32:28.596Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T07:32:37.610Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T07:32:43.816Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T07:32:46.683Z] 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.
[2025-07-01T07:32:46.683Z] The best model improves the baseline by 14.52%.
[2025-07-01T07:32:50.408Z] Top recommended movies for user id 72:
[2025-07-01T07:32:50.408Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-07-01T07:32:50.408Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-07-01T07:32:50.408Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-07-01T07:32:50.408Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-07-01T07:32:50.408Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-07-01T07:32:50.408Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (91119.078 ms) ======
[2025-07-01T07:32:50.408Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-07-01T07:32:50.980Z] GC before operation: completed in 1547.236 ms, heap usage 346.904 MB -> 88.077 MB.
[2025-07-01T07:33:06.359Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T07:33:17.003Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T07:33:43.534Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T07:33:50.778Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T07:33:59.945Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T07:34:09.953Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T07:34:21.215Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T07:34:28.769Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T07:34:29.262Z] 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.
[2025-07-01T07:34:29.788Z] The best model improves the baseline by 14.52%.
[2025-07-01T07:34:29.788Z] Top recommended movies for user id 72:
[2025-07-01T07:34:29.788Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-07-01T07:34:29.788Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-07-01T07:34:29.788Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-07-01T07:34:29.788Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-07-01T07:34:29.788Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-07-01T07:34:29.788Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (99371.884 ms) ======
[2025-07-01T07:34:29.788Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-07-01T07:34:30.374Z] GC before operation: completed in 347.055 ms, heap usage 302.458 MB -> 88.681 MB.
[2025-07-01T07:34:45.674Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T07:35:00.883Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T07:35:08.742Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T07:35:16.310Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T07:35:21.041Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T07:35:24.845Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T07:35:29.977Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T07:35:35.915Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T07:35:35.915Z] 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.
[2025-07-01T07:35:35.915Z] The best model improves the baseline by 14.52%.
[2025-07-01T07:35:35.915Z] Top recommended movies for user id 72:
[2025-07-01T07:35:35.915Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-07-01T07:35:35.915Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-07-01T07:35:35.915Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-07-01T07:35:35.915Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-07-01T07:35:35.915Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-07-01T07:35:35.915Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (65523.017 ms) ======
[2025-07-01T07:35:35.915Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-07-01T07:35:35.915Z] GC before operation: completed in 162.438 ms, heap usage 468.850 MB -> 89.304 MB.
[2025-07-01T07:35:44.638Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T07:35:53.057Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T07:36:00.241Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T07:36:10.856Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T07:36:17.823Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T07:36:24.263Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T07:36:33.283Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T07:36:39.378Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T07:36:39.378Z] 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.
[2025-07-01T07:36:39.885Z] The best model improves the baseline by 14.52%.
[2025-07-01T07:36:39.885Z] Top recommended movies for user id 72:
[2025-07-01T07:36:39.885Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-07-01T07:36:39.885Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-07-01T07:36:39.885Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-07-01T07:36:39.885Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-07-01T07:36:39.885Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-07-01T07:36:39.885Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (63900.914 ms) ======
[2025-07-01T07:36:39.885Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-07-01T07:36:41.320Z] GC before operation: completed in 1273.473 ms, heap usage 542.988 MB -> 92.618 MB.
[2025-07-01T07:36:51.731Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T07:37:04.402Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T07:37:12.088Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T07:37:19.071Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T07:37:24.811Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T07:37:28.249Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T07:37:33.938Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T07:37:39.593Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T07:37:40.021Z] 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.
[2025-07-01T07:37:40.021Z] The best model improves the baseline by 14.52%.
[2025-07-01T07:37:40.435Z] Top recommended movies for user id 72:
[2025-07-01T07:37:40.435Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-07-01T07:37:40.435Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-07-01T07:37:40.435Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-07-01T07:37:40.435Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-07-01T07:37:40.435Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-07-01T07:37:40.435Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (59215.238 ms) ======
[2025-07-01T07:37:40.435Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-07-01T07:37:40.930Z] GC before operation: completed in 244.097 ms, heap usage 729.867 MB -> 93.226 MB.
[2025-07-01T07:37:53.677Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T07:38:04.101Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T07:38:13.263Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T07:38:22.502Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T07:38:38.688Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T07:38:41.375Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T07:38:51.268Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T07:39:00.216Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T07:39:02.635Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983.
[2025-07-01T07:39:02.636Z] The best model improves the baseline by 14.52%.
[2025-07-01T07:39:03.649Z] Top recommended movies for user id 72:
[2025-07-01T07:39:03.649Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-07-01T07:39:03.649Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-07-01T07:39:03.649Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-07-01T07:39:03.649Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-07-01T07:39:03.649Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-07-01T07:39:03.649Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (82498.737 ms) ======
[2025-07-01T07:39:03.649Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-07-01T07:39:03.649Z] GC before operation: completed in 202.693 ms, heap usage 500.796 MB -> 89.571 MB.
[2025-07-01T07:39:19.138Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T07:39:32.157Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T07:39:45.136Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T07:39:58.096Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T07:40:05.457Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T07:40:13.003Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T07:40:19.047Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T07:40:26.431Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T07:40:27.978Z] 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.
[2025-07-01T07:40:27.978Z] The best model improves the baseline by 14.52%.
[2025-07-01T07:40:27.978Z] Top recommended movies for user id 72:
[2025-07-01T07:40:27.978Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-07-01T07:40:27.978Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-07-01T07:40:27.978Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-07-01T07:40:27.978Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-07-01T07:40:27.978Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-07-01T07:40:27.978Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (84631.754 ms) ======
[2025-07-01T07:40:27.978Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-07-01T07:40:29.900Z] GC before operation: completed in 1534.749 ms, heap usage 442.638 MB -> 89.718 MB.
[2025-07-01T07:40:51.841Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T07:41:04.670Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T07:41:18.091Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T07:41:32.995Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T07:41:39.214Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T07:41:45.332Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T07:41:51.270Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T07:42:00.639Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T07:42:01.207Z] 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.
[2025-07-01T07:42:01.207Z] The best model improves the baseline by 14.52%.
[2025-07-01T07:42:01.715Z] Top recommended movies for user id 72:
[2025-07-01T07:42:01.715Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-07-01T07:42:01.715Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-07-01T07:42:01.715Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-07-01T07:42:01.715Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-07-01T07:42:01.715Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-07-01T07:42:01.715Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (92251.795 ms) ======
[2025-07-01T07:42:01.715Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-07-01T07:42:02.188Z] GC before operation: completed in 255.753 ms, heap usage 173.316 MB -> 91.064 MB.
[2025-07-01T07:42:14.655Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T07:42:27.504Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T07:42:50.207Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T07:42:57.141Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T07:43:04.872Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T07:43:12.335Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T07:43:19.857Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T07:43:27.573Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T07:43:28.593Z] 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.
[2025-07-01T07:43:28.593Z] The best model improves the baseline by 14.52%.
[2025-07-01T07:43:30.266Z] Top recommended movies for user id 72:
[2025-07-01T07:43:30.266Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-07-01T07:43:30.266Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-07-01T07:43:30.266Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-07-01T07:43:30.266Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-07-01T07:43:30.266Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-07-01T07:43:30.266Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (87010.720 ms) ======
[2025-07-01T07:43:30.266Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-07-01T07:43:30.266Z] GC before operation: completed in 396.478 ms, heap usage 465.646 MB -> 90.033 MB.
[2025-07-01T07:43:45.649Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T07:43:55.183Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T07:44:07.847Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T07:44:15.188Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T07:44:24.209Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T07:44:31.044Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T07:44:39.170Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T07:44:45.320Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T07:44:45.789Z] 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.
[2025-07-01T07:44:46.232Z] The best model improves the baseline by 14.52%.
[2025-07-01T07:44:47.876Z] Top recommended movies for user id 72:
[2025-07-01T07:44:47.876Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-07-01T07:44:47.876Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-07-01T07:44:47.876Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-07-01T07:44:47.876Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-07-01T07:44:47.876Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-07-01T07:44:47.876Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (78056.227 ms) ======
[2025-07-01T07:44:47.876Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-07-01T07:44:47.876Z] GC before operation: completed in 371.686 ms, heap usage 272.544 MB -> 89.358 MB.
[2025-07-01T07:45:07.254Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T07:45:16.775Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T07:45:32.278Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T07:45:36.911Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T07:45:42.779Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T07:45:46.449Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T07:45:52.463Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T07:45:59.399Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T07:46:00.509Z] 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.
[2025-07-01T07:46:00.509Z] The best model improves the baseline by 14.52%.
[2025-07-01T07:46:01.444Z] Top recommended movies for user id 72:
[2025-07-01T07:46:01.444Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-07-01T07:46:01.444Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-07-01T07:46:01.444Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-07-01T07:46:01.444Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-07-01T07:46:01.444Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-07-01T07:46:01.444Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (73117.265 ms) ======
[2025-07-01T07:46:01.444Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-07-01T07:46:01.444Z] GC before operation: completed in 303.317 ms, heap usage 450.489 MB -> 89.877 MB.
[2025-07-01T07:46:12.027Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T07:46:22.395Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T07:46:32.857Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T07:46:42.028Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T07:46:46.775Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T07:46:51.695Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T07:46:56.804Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T07:47:02.813Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T07:47:03.930Z] 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.
[2025-07-01T07:47:03.930Z] The best model improves the baseline by 14.52%.
[2025-07-01T07:47:04.435Z] Top recommended movies for user id 72:
[2025-07-01T07:47:04.435Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-07-01T07:47:04.435Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-07-01T07:47:04.435Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-07-01T07:47:04.435Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-07-01T07:47:04.435Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-07-01T07:47:04.435Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (62878.106 ms) ======
[2025-07-01T07:47:04.435Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-07-01T07:47:04.435Z] GC before operation: completed in 210.325 ms, heap usage 447.282 MB -> 89.993 MB.
[2025-07-01T07:47:14.797Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T07:47:25.303Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T07:47:36.121Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T07:47:44.520Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T07:47:49.355Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T07:48:00.950Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T07:48:08.964Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T07:48:11.927Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T07:48:13.948Z] 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.
[2025-07-01T07:48:13.948Z] The best model improves the baseline by 14.52%.
[2025-07-01T07:48:14.378Z] Top recommended movies for user id 72:
[2025-07-01T07:48:14.378Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-07-01T07:48:14.378Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-07-01T07:48:14.378Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-07-01T07:48:14.378Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-07-01T07:48:14.378Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-07-01T07:48:14.378Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (69927.210 ms) ======
[2025-07-01T07:48:14.378Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-07-01T07:48:14.826Z] GC before operation: completed in 301.146 ms, heap usage 245.258 MB -> 89.452 MB.
[2025-07-01T07:48:25.371Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T07:48:38.067Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T07:48:48.544Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T07:49:01.426Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T07:49:08.724Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T07:49:16.359Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T07:49:23.902Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T07:49:30.558Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T07:49:30.558Z] 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.
[2025-07-01T07:49:31.101Z] The best model improves the baseline by 14.52%.
[2025-07-01T07:49:32.100Z] Top recommended movies for user id 72:
[2025-07-01T07:49:32.100Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-07-01T07:49:32.100Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-07-01T07:49:32.100Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-07-01T07:49:32.100Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-07-01T07:49:32.100Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-07-01T07:49:32.100Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (77226.191 ms) ======
[2025-07-01T07:49:32.100Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-07-01T07:49:32.100Z] GC before operation: completed in 327.065 ms, heap usage 777.697 MB -> 93.929 MB.
[2025-07-01T07:49:44.549Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T07:49:59.601Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T07:50:13.241Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T07:50:26.302Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T07:50:33.857Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T07:50:41.088Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T07:50:48.813Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T07:50:54.729Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T07:50:55.178Z] 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.
[2025-07-01T07:50:55.178Z] The best model improves the baseline by 14.52%.
[2025-07-01T07:50:55.178Z] Top recommended movies for user id 72:
[2025-07-01T07:50:55.178Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-07-01T07:50:55.178Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-07-01T07:50:55.178Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-07-01T07:50:55.178Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-07-01T07:50:55.178Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-07-01T07:50:55.178Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (83108.679 ms) ======
[2025-07-01T07:50:55.178Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-07-01T07:50:55.595Z] GC before operation: completed in 260.929 ms, heap usage 118.465 MB -> 93.806 MB.
[2025-07-01T07:51:18.079Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T07:51:26.495Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T07:51:39.454Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T07:51:50.499Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T07:51:57.773Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T07:52:06.502Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T07:52:14.226Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T07:52:21.688Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T07:52:22.567Z] 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.
[2025-07-01T07:52:22.567Z] The best model improves the baseline by 14.52%.
[2025-07-01T07:52:23.026Z] Top recommended movies for user id 72:
[2025-07-01T07:52:23.026Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-07-01T07:52:23.026Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-07-01T07:52:23.026Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-07-01T07:52:23.026Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-07-01T07:52:23.026Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-07-01T07:52:23.026Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (87486.187 ms) ======
[2025-07-01T07:52:23.026Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-07-01T07:52:24.320Z] GC before operation: completed in 761.943 ms, heap usage 276.425 MB -> 89.666 MB.
[2025-07-01T07:52:36.715Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T07:52:47.220Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T07:52:57.404Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T07:53:06.941Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T07:53:14.307Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T07:53:23.279Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T07:53:29.392Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T07:53:38.030Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T07:53:38.030Z] 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.
[2025-07-01T07:53:38.030Z] The best model improves the baseline by 14.52%.
[2025-07-01T07:53:38.030Z] Top recommended movies for user id 72:
[2025-07-01T07:53:38.030Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-07-01T07:53:38.030Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-07-01T07:53:38.030Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-07-01T07:53:38.030Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-07-01T07:53:38.030Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-07-01T07:53:38.030Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (74282.716 ms) ======
[2025-07-01T07:53:38.030Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-07-01T07:53:38.687Z] GC before operation: completed in 260.232 ms, heap usage 936.605 MB -> 94.418 MB.
[2025-07-01T07:53:49.436Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T07:54:02.577Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T07:54:21.901Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T07:54:33.051Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T07:54:40.578Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T07:54:52.355Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T07:55:00.173Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T07:55:07.766Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T07:55:07.766Z] 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.
[2025-07-01T07:55:07.766Z] The best model improves the baseline by 14.52%.
[2025-07-01T07:55:07.766Z] Top recommended movies for user id 72:
[2025-07-01T07:55:07.766Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-07-01T07:55:07.766Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-07-01T07:55:07.766Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-07-01T07:55:07.766Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-07-01T07:55:07.766Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-07-01T07:55:07.766Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (89405.700 ms) ======
[2025-07-01T07:55:07.766Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-07-01T07:55:08.504Z] GC before operation: completed in 261.654 ms, heap usage 165.335 MB -> 91.844 MB.
[2025-07-01T07:55:21.826Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T07:55:32.847Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T07:55:41.925Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T07:55:57.906Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T07:56:01.500Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T07:56:08.880Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T07:56:16.124Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T07:56:22.158Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T07:56:22.158Z] 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.
[2025-07-01T07:56:22.158Z] The best model improves the baseline by 14.52%.
[2025-07-01T07:56:23.676Z] Top recommended movies for user id 72:
[2025-07-01T07:56:23.676Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-07-01T07:56:23.676Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-07-01T07:56:23.676Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-07-01T07:56:23.676Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-07-01T07:56:23.676Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-07-01T07:56:23.676Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (75600.253 ms) ======
[2025-07-01T07:56:29.121Z] -----------------------------------
[2025-07-01T07:56:29.121Z] renaissance-movie-lens_0_PASSED
[2025-07-01T07:56:29.121Z] -----------------------------------
[2025-07-01T07:56:29.917Z]
[2025-07-01T07:56:29.917Z] TEST TEARDOWN:
[2025-07-01T07:56:29.917Z] Nothing to be done for teardown.
[2025-07-01T07:56:29.917Z] renaissance-movie-lens_0 Finish Time: Tue Jul 1 00:56:29 2025 Epoch Time (ms): 1751356589565