renaissance-movie-lens_0
[2025-05-21T21:17:06.136Z] Running test renaissance-movie-lens_0 ...
[2025-05-21T21:17:06.136Z] ===============================================
[2025-05-21T21:17:06.136Z] renaissance-movie-lens_0 Start Time: Wed May 21 21:17:05 2025 Epoch Time (ms): 1747862225609
[2025-05-21T21:17:06.136Z] variation: NoOptions
[2025-05-21T21:17:06.136Z] JVM_OPTIONS:
[2025-05-21T21:17:06.136Z] { \
[2025-05-21T21:17:06.136Z] echo ""; echo "TEST SETUP:"; \
[2025-05-21T21:17:06.136Z] echo "Nothing to be done for setup."; \
[2025-05-21T21:17:06.136Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17478610187960/renaissance-movie-lens_0"; \
[2025-05-21T21:17:06.136Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17478610187960/renaissance-movie-lens_0"; \
[2025-05-21T21:17:06.136Z] echo ""; echo "TESTING:"; \
[2025-05-21T21:17:06.136Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/jdkbinary/j2sdk-image/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 "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17478610187960/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-05-21T21:17:06.136Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17478610187960/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-05-21T21:17:06.136Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-05-21T21:17:06.136Z] echo "Nothing to be done for teardown."; \
[2025-05-21T21:17:06.136Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17478610187960/TestTargetResult";
[2025-05-21T21:17:06.136Z]
[2025-05-21T21:17:06.136Z] TEST SETUP:
[2025-05-21T21:17:06.136Z] Nothing to be done for setup.
[2025-05-21T21:17:06.136Z]
[2025-05-21T21:17:06.136Z] TESTING:
[2025-05-21T21:17:14.488Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2025-05-21T21:17:24.641Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-05-21T21:17:24.641Z] Training: 60056, validation: 20285, test: 19854
[2025-05-21T21:17:24.641Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-05-21T21:17:24.641Z] GC before operation: completed in 133.128 ms, heap usage 776.983 MB -> 75.918 MB.
[2025-05-21T21:17:30.288Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-21T21:17:32.776Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-21T21:17:37.270Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-21T21:17:39.762Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-21T21:17:41.367Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-21T21:17:43.862Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-21T21:17:45.477Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-21T21:17:47.083Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-21T21:17:47.861Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-21T21:17:47.861Z] The best model improves the baseline by 14.43%.
[2025-05-21T21:17:47.861Z] Top recommended movies for user id 72:
[2025-05-21T21:17:47.861Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-21T21:17:47.861Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-21T21:17:47.861Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-21T21:17:47.861Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-21T21:17:47.861Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-21T21:17:47.861Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23438.382 ms) ======
[2025-05-21T21:17:47.861Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-05-21T21:17:47.861Z] GC before operation: completed in 190.074 ms, heap usage 268.522 MB -> 95.180 MB.
[2025-05-21T21:17:51.317Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-21T21:17:54.958Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-21T21:17:57.480Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-21T21:18:00.928Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-21T21:18:02.545Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-21T21:18:04.205Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-21T21:18:05.816Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-21T21:18:08.311Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-21T21:18:08.311Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-21T21:18:08.311Z] The best model improves the baseline by 14.43%.
[2025-05-21T21:18:08.311Z] Top recommended movies for user id 72:
[2025-05-21T21:18:08.311Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-21T21:18:08.311Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-21T21:18:08.311Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-21T21:18:08.311Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-21T21:18:08.311Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-21T21:18:08.311Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20421.207 ms) ======
[2025-05-21T21:18:08.311Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-05-21T21:18:08.311Z] GC before operation: completed in 157.150 ms, heap usage 535.028 MB -> 90.283 MB.
[2025-05-21T21:18:11.768Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-21T21:18:15.218Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-21T21:18:18.680Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-21T21:18:21.180Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-21T21:18:23.694Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-21T21:18:25.361Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-21T21:18:26.968Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-21T21:18:29.655Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-21T21:18:29.655Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-21T21:18:29.655Z] The best model improves the baseline by 14.43%.
[2025-05-21T21:18:29.655Z] Top recommended movies for user id 72:
[2025-05-21T21:18:29.655Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-21T21:18:29.655Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-21T21:18:29.655Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-21T21:18:29.655Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-21T21:18:29.655Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-21T21:18:29.655Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21002.622 ms) ======
[2025-05-21T21:18:29.655Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-05-21T21:18:29.655Z] GC before operation: completed in 175.466 ms, heap usage 422.955 MB -> 91.119 MB.
[2025-05-21T21:18:33.111Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-21T21:18:36.562Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-21T21:18:40.026Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-21T21:18:42.512Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-21T21:18:44.128Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-21T21:18:45.746Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-21T21:18:47.348Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-21T21:18:49.845Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-21T21:18:49.845Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-21T21:18:49.845Z] The best model improves the baseline by 14.43%.
[2025-05-21T21:18:49.845Z] Top recommended movies for user id 72:
[2025-05-21T21:18:49.845Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-21T21:18:49.845Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-21T21:18:49.845Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-21T21:18:49.845Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-21T21:18:49.845Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-21T21:18:49.845Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20009.321 ms) ======
[2025-05-21T21:18:49.845Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-05-21T21:18:49.845Z] GC before operation: completed in 165.280 ms, heap usage 824.100 MB -> 95.089 MB.
[2025-05-21T21:18:53.294Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-21T21:18:56.755Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-21T21:18:59.264Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-21T21:19:02.748Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-21T21:19:04.353Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-21T21:19:06.855Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-21T21:19:08.459Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-21T21:19:10.060Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-21T21:19:10.837Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-21T21:19:10.837Z] The best model improves the baseline by 14.43%.
[2025-05-21T21:19:10.837Z] Top recommended movies for user id 72:
[2025-05-21T21:19:10.837Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-21T21:19:10.837Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-21T21:19:10.837Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-21T21:19:10.837Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-21T21:19:10.837Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-21T21:19:10.837Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20737.648 ms) ======
[2025-05-21T21:19:10.837Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-05-21T21:19:10.837Z] GC before operation: completed in 178.067 ms, heap usage 1.039 GB -> 95.877 MB.
[2025-05-21T21:19:14.294Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-21T21:19:17.773Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-21T21:19:20.275Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-21T21:19:23.727Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-21T21:19:25.330Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-21T21:19:26.938Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-21T21:19:28.552Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-21T21:19:30.228Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-21T21:19:31.004Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-21T21:19:31.004Z] The best model improves the baseline by 14.43%.
[2025-05-21T21:19:31.004Z] Top recommended movies for user id 72:
[2025-05-21T21:19:31.004Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-21T21:19:31.004Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-21T21:19:31.004Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-21T21:19:31.004Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-21T21:19:31.004Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-21T21:19:31.004Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19921.887 ms) ======
[2025-05-21T21:19:31.004Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-05-21T21:19:31.004Z] GC before operation: completed in 175.452 ms, heap usage 1.401 GB -> 100.460 MB.
[2025-05-21T21:19:34.452Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-21T21:19:37.128Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-21T21:19:39.624Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-21T21:19:43.071Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-21T21:19:44.689Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-21T21:19:46.309Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-21T21:19:47.914Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-21T21:19:49.516Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-21T21:19:50.290Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-21T21:19:50.291Z] The best model improves the baseline by 14.43%.
[2025-05-21T21:19:50.291Z] Top recommended movies for user id 72:
[2025-05-21T21:19:50.291Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-21T21:19:50.291Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-21T21:19:50.291Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-21T21:19:50.291Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-21T21:19:50.291Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-21T21:19:50.291Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19152.117 ms) ======
[2025-05-21T21:19:50.291Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-05-21T21:19:50.291Z] GC before operation: completed in 178.625 ms, heap usage 2.313 GB -> 97.754 MB.
[2025-05-21T21:19:53.733Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-21T21:19:57.188Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-21T21:19:59.697Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-21T21:20:03.143Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-21T21:20:04.748Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-21T21:20:06.348Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-21T21:20:08.839Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-21T21:20:10.645Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-21T21:20:10.645Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-21T21:20:10.645Z] The best model improves the baseline by 14.43%.
[2025-05-21T21:20:10.645Z] Top recommended movies for user id 72:
[2025-05-21T21:20:10.645Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-21T21:20:10.645Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-21T21:20:10.645Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-21T21:20:10.645Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-21T21:20:10.645Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-21T21:20:10.645Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20398.802 ms) ======
[2025-05-21T21:20:10.645Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-05-21T21:20:11.459Z] GC before operation: completed in 173.496 ms, heap usage 663.646 MB -> 93.887 MB.
[2025-05-21T21:20:14.912Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-21T21:20:17.401Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-21T21:20:20.855Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-21T21:20:23.347Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-21T21:20:25.846Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-21T21:20:27.457Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-21T21:20:29.063Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-21T21:20:30.667Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-21T21:20:31.443Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-21T21:20:31.443Z] The best model improves the baseline by 14.43%.
[2025-05-21T21:20:31.443Z] Top recommended movies for user id 72:
[2025-05-21T21:20:31.443Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-21T21:20:31.443Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-21T21:20:31.443Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-21T21:20:31.443Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-21T21:20:31.443Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-21T21:20:31.443Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20527.004 ms) ======
[2025-05-21T21:20:31.443Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-05-21T21:20:31.444Z] GC before operation: completed in 178.888 ms, heap usage 2.880 GB -> 101.505 MB.
[2025-05-21T21:20:34.918Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-21T21:20:37.407Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-21T21:20:40.865Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-21T21:20:43.357Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-21T21:20:45.179Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-21T21:20:46.785Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-21T21:20:48.401Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-21T21:20:50.025Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-21T21:20:50.817Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-21T21:20:50.817Z] The best model improves the baseline by 14.43%.
[2025-05-21T21:20:50.817Z] Top recommended movies for user id 72:
[2025-05-21T21:20:50.817Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-21T21:20:50.817Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-21T21:20:50.817Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-21T21:20:50.817Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-21T21:20:50.817Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-21T21:20:50.817Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18976.792 ms) ======
[2025-05-21T21:20:50.817Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-05-21T21:20:50.817Z] GC before operation: completed in 197.950 ms, heap usage 2.736 GB -> 98.011 MB.
[2025-05-21T21:20:54.274Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-21T21:20:56.765Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-21T21:21:00.232Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-21T21:21:02.732Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-21T21:21:04.335Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-21T21:21:05.944Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-21T21:21:07.551Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-21T21:21:10.046Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-21T21:21:10.046Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-21T21:21:10.046Z] The best model improves the baseline by 14.43%.
[2025-05-21T21:21:10.046Z] Top recommended movies for user id 72:
[2025-05-21T21:21:10.046Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-21T21:21:10.046Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-21T21:21:10.046Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-21T21:21:10.046Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-21T21:21:10.046Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-21T21:21:10.046Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19315.429 ms) ======
[2025-05-21T21:21:10.046Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-05-21T21:21:10.046Z] GC before operation: completed in 158.283 ms, heap usage 269.934 MB -> 91.414 MB.
[2025-05-21T21:21:13.512Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-21T21:21:16.977Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-21T21:21:20.621Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-21T21:21:23.112Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-21T21:21:24.713Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-21T21:21:27.199Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-21T21:21:28.926Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-21T21:21:30.535Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-21T21:21:31.313Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-21T21:21:31.313Z] The best model improves the baseline by 14.43%.
[2025-05-21T21:21:31.313Z] Top recommended movies for user id 72:
[2025-05-21T21:21:31.313Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-21T21:21:31.313Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-21T21:21:31.313Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-21T21:21:31.313Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-21T21:21:31.313Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-21T21:21:31.313Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20996.136 ms) ======
[2025-05-21T21:21:31.313Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-05-21T21:21:31.313Z] GC before operation: completed in 158.291 ms, heap usage 187.167 MB -> 91.540 MB.
[2025-05-21T21:21:34.763Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-21T21:21:38.219Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-21T21:21:41.669Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-21T21:21:45.118Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-21T21:21:46.724Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-21T21:21:48.335Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-21T21:21:49.957Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-21T21:21:52.457Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-21T21:21:52.457Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-21T21:21:52.457Z] The best model improves the baseline by 14.43%.
[2025-05-21T21:21:52.457Z] Top recommended movies for user id 72:
[2025-05-21T21:21:52.457Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-21T21:21:52.457Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-21T21:21:52.457Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-21T21:21:52.457Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-21T21:21:52.457Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-21T21:21:52.457Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21134.056 ms) ======
[2025-05-21T21:21:52.457Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-05-21T21:21:52.457Z] GC before operation: completed in 172.426 ms, heap usage 1.437 GB -> 97.082 MB.
[2025-05-21T21:21:56.113Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-21T21:21:59.582Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-21T21:22:02.249Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-21T21:22:05.711Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-21T21:22:07.339Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-21T21:22:08.940Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-21T21:22:10.554Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-21T21:22:12.174Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-21T21:22:12.954Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-21T21:22:12.954Z] The best model improves the baseline by 14.43%.
[2025-05-21T21:22:12.954Z] Top recommended movies for user id 72:
[2025-05-21T21:22:12.954Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-21T21:22:12.954Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-21T21:22:12.954Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-21T21:22:12.954Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-21T21:22:12.954Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-21T21:22:12.954Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19998.629 ms) ======
[2025-05-21T21:22:12.954Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-05-21T21:22:12.954Z] GC before operation: completed in 184.100 ms, heap usage 1.877 GB -> 99.940 MB.
[2025-05-21T21:22:16.400Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-21T21:22:19.873Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-21T21:22:22.371Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-21T21:22:25.825Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-21T21:22:27.436Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-21T21:22:30.175Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-21T21:22:31.776Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-21T21:22:33.391Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-21T21:22:33.391Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-21T21:22:33.391Z] The best model improves the baseline by 14.43%.
[2025-05-21T21:22:34.181Z] Top recommended movies for user id 72:
[2025-05-21T21:22:34.181Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-21T21:22:34.181Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-21T21:22:34.181Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-21T21:22:34.181Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-21T21:22:34.181Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-21T21:22:34.181Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20992.008 ms) ======
[2025-05-21T21:22:34.181Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-05-21T21:22:34.181Z] GC before operation: completed in 178.260 ms, heap usage 424.252 MB -> 92.111 MB.
[2025-05-21T21:22:37.636Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-21T21:22:41.090Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-21T21:22:44.559Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-21T21:22:47.060Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-21T21:22:49.551Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-21T21:22:51.160Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-21T21:22:52.767Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-21T21:22:55.264Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-21T21:22:55.264Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-21T21:22:55.264Z] The best model improves the baseline by 14.43%.
[2025-05-21T21:22:55.264Z] Top recommended movies for user id 72:
[2025-05-21T21:22:55.264Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-21T21:22:55.264Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-21T21:22:55.264Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-21T21:22:55.264Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-21T21:22:55.264Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-21T21:22:55.264Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (21246.965 ms) ======
[2025-05-21T21:22:55.264Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-05-21T21:22:55.264Z] GC before operation: completed in 193.254 ms, heap usage 834.543 MB -> 95.924 MB.
[2025-05-21T21:22:58.710Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-21T21:23:01.215Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-21T21:23:04.883Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-21T21:23:07.377Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-21T21:23:08.984Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-21T21:23:10.589Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-21T21:23:13.108Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-21T21:23:14.720Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-21T21:23:14.720Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-21T21:23:14.720Z] The best model improves the baseline by 14.43%.
[2025-05-21T21:23:14.720Z] Top recommended movies for user id 72:
[2025-05-21T21:23:14.720Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-21T21:23:14.720Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-21T21:23:14.720Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-21T21:23:14.720Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-21T21:23:14.720Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-21T21:23:14.721Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19401.303 ms) ======
[2025-05-21T21:23:14.721Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-05-21T21:23:15.498Z] GC before operation: completed in 184.860 ms, heap usage 342.142 MB -> 92.075 MB.
[2025-05-21T21:23:17.995Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-21T21:23:21.456Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-21T21:23:24.912Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-21T21:23:27.422Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-21T21:23:29.956Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-21T21:23:31.559Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-21T21:23:33.164Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-21T21:23:35.671Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-21T21:23:35.671Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-21T21:23:35.671Z] The best model improves the baseline by 14.43%.
[2025-05-21T21:23:35.671Z] Top recommended movies for user id 72:
[2025-05-21T21:23:35.671Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-21T21:23:35.671Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-21T21:23:35.671Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-21T21:23:35.671Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-21T21:23:35.671Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-21T21:23:35.671Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (20763.082 ms) ======
[2025-05-21T21:23:35.671Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-05-21T21:23:36.635Z] GC before operation: completed in 172.125 ms, heap usage 134.164 MB -> 93.919 MB.
[2025-05-21T21:23:39.155Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-21T21:23:42.604Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-21T21:23:46.059Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-21T21:23:49.518Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-21T21:23:51.129Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-21T21:23:52.732Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-21T21:23:54.343Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-21T21:23:56.839Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-21T21:23:56.839Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-21T21:23:56.839Z] The best model improves the baseline by 14.43%.
[2025-05-21T21:23:56.839Z] Top recommended movies for user id 72:
[2025-05-21T21:23:56.839Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-21T21:23:56.839Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-21T21:23:56.839Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-21T21:23:56.839Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-21T21:23:56.839Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-21T21:23:56.839Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (20860.995 ms) ======
[2025-05-21T21:23:56.839Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-05-21T21:23:56.839Z] GC before operation: completed in 179.428 ms, heap usage 2.383 GB -> 102.549 MB.
[2025-05-21T21:24:00.309Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-21T21:24:02.816Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-21T21:24:06.267Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-21T21:24:09.734Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-21T21:24:11.353Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-21T21:24:13.199Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-21T21:24:14.808Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-21T21:24:16.433Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-21T21:24:16.433Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-21T21:24:16.433Z] The best model improves the baseline by 14.43%.
[2025-05-21T21:24:17.209Z] Top recommended movies for user id 72:
[2025-05-21T21:24:17.209Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-21T21:24:17.209Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-21T21:24:17.209Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-21T21:24:17.209Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-21T21:24:17.209Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-21T21:24:17.209Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19725.902 ms) ======
[2025-05-21T21:24:17.209Z] -----------------------------------
[2025-05-21T21:24:17.209Z] renaissance-movie-lens_0_PASSED
[2025-05-21T21:24:17.209Z] -----------------------------------
[2025-05-21T21:24:17.209Z]
[2025-05-21T21:24:17.209Z] TEST TEARDOWN:
[2025-05-21T21:24:17.209Z] Nothing to be done for teardown.
[2025-05-21T21:24:17.209Z] renaissance-movie-lens_0 Finish Time: Wed May 21 21:24:17 2025 Epoch Time (ms): 1747862657003