Test Results Summary Service

renaissance-movie-lens_0

[2025-12-03T23:00:48.516Z] Running test renaissance-movie-lens_0 ... [2025-12-03T23:00:48.516Z] =============================================== [2025-12-03T23:00:48.516Z] renaissance-movie-lens_0 Start Time: Wed Dec 3 23:00:47 2025 Epoch Time (ms): 1764802847756 [2025-12-03T23:00:48.516Z] variation: NoOptions [2025-12-03T23:00:48.516Z] JVM_OPTIONS: [2025-12-03T23:00:48.516Z] { \ [2025-12-03T23:00:48.516Z] echo ""; echo "TEST SETUP:"; \ [2025-12-03T23:00:48.516Z] echo "Nothing to be done for setup."; \ [2025-12-03T23:00:48.516Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17648015773108/renaissance-movie-lens_0"; \ [2025-12-03T23:00:48.516Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17648015773108/renaissance-movie-lens_0"; \ [2025-12-03T23:00:48.516Z] echo ""; echo "TESTING:"; \ [2025-12-03T23:00:48.516Z] "/home/jenkins/workspace/Test_openjdk21_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_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17648015773108/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-03T23:00:48.516Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17648015773108/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-03T23:00:48.516Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-03T23:00:48.516Z] echo "Nothing to be done for teardown."; \ [2025-12-03T23:00:48.516Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17648015773108/TestTargetResult"; [2025-12-03T23:00:48.516Z] [2025-12-03T23:00:48.516Z] TEST SETUP: [2025-12-03T23:00:48.516Z] Nothing to be done for setup. [2025-12-03T23:00:48.516Z] [2025-12-03T23:00:48.516Z] TESTING: [2025-12-03T23:00:55.558Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads. [2025-12-03T23:01:05.812Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-03T23:01:05.812Z] Training: 60056, validation: 20285, test: 19854 [2025-12-03T23:01:05.812Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-03T23:01:05.812Z] GC before operation: completed in 145.351 ms, heap usage 407.026 MB -> 75.702 MB. [2025-12-03T23:01:10.513Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:01:14.161Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:01:17.676Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:01:21.175Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:01:22.924Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:01:24.630Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:01:27.164Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:01:29.097Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:01:29.097Z] 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. [2025-12-03T23:01:29.097Z] The best model improves the baseline by 14.43%. [2025-12-03T23:01:29.097Z] Top recommended movies for user id 72: [2025-12-03T23:01:29.097Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-03T23:01:29.097Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-03T23:01:29.097Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-03T23:01:29.097Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-03T23:01:29.097Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-03T23:01:29.097Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23623.011 ms) ====== [2025-12-03T23:01:29.097Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-03T23:01:29.097Z] GC before operation: completed in 162.834 ms, heap usage 326.821 MB -> 87.453 MB. [2025-12-03T23:01:32.629Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:01:36.166Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:01:38.835Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:01:42.429Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:01:44.182Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:01:45.816Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:01:47.546Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:01:49.454Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:01:50.240Z] 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. [2025-12-03T23:01:50.240Z] The best model improves the baseline by 14.43%. [2025-12-03T23:01:50.240Z] Top recommended movies for user id 72: [2025-12-03T23:01:50.240Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-03T23:01:50.240Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-03T23:01:50.240Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-03T23:01:50.240Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-03T23:01:50.240Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-03T23:01:50.240Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20502.926 ms) ====== [2025-12-03T23:01:50.240Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-03T23:01:50.240Z] GC before operation: completed in 136.301 ms, heap usage 314.482 MB -> 90.288 MB. [2025-12-03T23:01:52.793Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:01:55.455Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:01:59.128Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:02:01.675Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:02:03.310Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:02:04.967Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:02:06.600Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:02:08.281Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:02:09.068Z] 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. [2025-12-03T23:02:09.068Z] The best model improves the baseline by 14.43%. [2025-12-03T23:02:09.068Z] Top recommended movies for user id 72: [2025-12-03T23:02:09.068Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-03T23:02:09.068Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-03T23:02:09.068Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-03T23:02:09.068Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-03T23:02:09.068Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-03T23:02:09.068Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18963.938 ms) ====== [2025-12-03T23:02:09.068Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-03T23:02:09.068Z] GC before operation: completed in 172.239 ms, heap usage 2.612 GB -> 97.335 MB. [2025-12-03T23:02:12.773Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:02:15.464Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:02:17.994Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:02:21.480Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:02:23.130Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:02:24.799Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:02:27.301Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:02:28.918Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:02:28.918Z] 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. [2025-12-03T23:02:28.918Z] The best model improves the baseline by 14.43%. [2025-12-03T23:02:28.918Z] Top recommended movies for user id 72: [2025-12-03T23:02:28.918Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-03T23:02:28.918Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-03T23:02:28.918Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-03T23:02:28.918Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-03T23:02:28.918Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-03T23:02:28.918Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19881.401 ms) ====== [2025-12-03T23:02:28.918Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-03T23:02:28.918Z] GC before operation: completed in 121.293 ms, heap usage 344.334 MB -> 91.481 MB. [2025-12-03T23:02:32.412Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:02:35.091Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:02:38.742Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:02:41.270Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:02:43.022Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:02:44.635Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:02:46.242Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:02:47.880Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:02:48.666Z] 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. [2025-12-03T23:02:48.666Z] The best model improves the baseline by 14.43%. [2025-12-03T23:02:48.666Z] Top recommended movies for user id 72: [2025-12-03T23:02:48.666Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-03T23:02:48.666Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-03T23:02:48.666Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-03T23:02:48.666Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-03T23:02:48.666Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-03T23:02:48.666Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19545.955 ms) ====== [2025-12-03T23:02:48.666Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-03T23:02:48.666Z] GC before operation: completed in 140.487 ms, heap usage 318.409 MB -> 91.285 MB. [2025-12-03T23:02:52.211Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:02:54.887Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:02:58.383Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:03:00.925Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:03:02.539Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:03:04.148Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:03:06.645Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:03:08.287Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:03:08.287Z] 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. [2025-12-03T23:03:08.287Z] The best model improves the baseline by 14.43%. [2025-12-03T23:03:09.172Z] Top recommended movies for user id 72: [2025-12-03T23:03:09.172Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-03T23:03:09.172Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-03T23:03:09.172Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-03T23:03:09.172Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-03T23:03:09.172Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-03T23:03:09.172Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19777.314 ms) ====== [2025-12-03T23:03:09.172Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-03T23:03:09.172Z] GC before operation: completed in 137.371 ms, heap usage 313.745 MB -> 91.860 MB. [2025-12-03T23:03:11.676Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:03:14.463Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:03:17.947Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:03:20.451Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:03:22.204Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:03:23.988Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:03:25.606Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:03:28.229Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:03:28.229Z] 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. [2025-12-03T23:03:28.229Z] The best model improves the baseline by 14.43%. [2025-12-03T23:03:28.229Z] Top recommended movies for user id 72: [2025-12-03T23:03:28.229Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-03T23:03:28.229Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-03T23:03:28.229Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-03T23:03:28.229Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-03T23:03:28.229Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-03T23:03:28.230Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19373.198 ms) ====== [2025-12-03T23:03:28.230Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-03T23:03:28.230Z] GC before operation: completed in 132.785 ms, heap usage 813.625 MB -> 95.501 MB. [2025-12-03T23:03:31.701Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:03:34.214Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:03:37.791Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:03:40.303Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:03:42.092Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:03:43.700Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:03:45.382Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:03:47.059Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:03:47.840Z] 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. [2025-12-03T23:03:47.840Z] The best model improves the baseline by 14.43%. [2025-12-03T23:03:47.840Z] Top recommended movies for user id 72: [2025-12-03T23:03:47.840Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-03T23:03:47.840Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-03T23:03:47.840Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-03T23:03:47.840Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-03T23:03:47.840Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-03T23:03:47.840Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19533.290 ms) ====== [2025-12-03T23:03:47.840Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-03T23:03:47.840Z] GC before operation: completed in 130.128 ms, heap usage 310.676 MB -> 91.988 MB. [2025-12-03T23:03:51.364Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:03:54.074Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:03:56.622Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:04:00.106Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:04:01.722Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:04:03.344Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:04:04.968Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:04:07.651Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:04:07.651Z] 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. [2025-12-03T23:04:07.651Z] The best model improves the baseline by 14.43%. [2025-12-03T23:04:07.651Z] Top recommended movies for user id 72: [2025-12-03T23:04:07.652Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-03T23:04:07.652Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-03T23:04:07.652Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-03T23:04:07.652Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-03T23:04:07.652Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-03T23:04:07.652Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19669.592 ms) ====== [2025-12-03T23:04:07.652Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-03T23:04:07.652Z] GC before operation: completed in 126.382 ms, heap usage 310.590 MB -> 91.702 MB. [2025-12-03T23:04:11.170Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:04:13.700Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:04:17.170Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:04:19.719Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:04:21.328Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:04:23.866Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:04:25.483Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:04:27.280Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:04:27.280Z] 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. [2025-12-03T23:04:27.280Z] The best model improves the baseline by 14.43%. [2025-12-03T23:04:27.280Z] Top recommended movies for user id 72: [2025-12-03T23:04:27.280Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-03T23:04:27.280Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-03T23:04:27.280Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-03T23:04:27.280Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-03T23:04:27.280Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-03T23:04:27.280Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19784.145 ms) ====== [2025-12-03T23:04:27.280Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-03T23:04:28.081Z] GC before operation: completed in 137.119 ms, heap usage 253.845 MB -> 91.781 MB. [2025-12-03T23:04:30.576Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:04:33.088Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:04:36.558Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:04:39.303Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:04:41.411Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:04:43.020Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:04:44.634Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:04:47.133Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:04:47.133Z] 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. [2025-12-03T23:04:47.133Z] The best model improves the baseline by 14.43%. [2025-12-03T23:04:47.133Z] Top recommended movies for user id 72: [2025-12-03T23:04:47.133Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-03T23:04:47.133Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-03T23:04:47.133Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-03T23:04:47.133Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-03T23:04:47.133Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-03T23:04:47.133Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19556.498 ms) ====== [2025-12-03T23:04:47.133Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-03T23:04:47.133Z] GC before operation: completed in 125.933 ms, heap usage 331.770 MB -> 91.641 MB. [2025-12-03T23:04:50.597Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:04:53.171Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:04:56.637Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:04:59.147Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:05:01.664Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:05:03.281Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:05:04.890Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:05:06.577Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:05:07.356Z] 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. [2025-12-03T23:05:07.356Z] The best model improves the baseline by 14.43%. [2025-12-03T23:05:07.356Z] Top recommended movies for user id 72: [2025-12-03T23:05:07.356Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-03T23:05:07.356Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-03T23:05:07.356Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-03T23:05:07.356Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-03T23:05:07.356Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-03T23:05:07.356Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19801.624 ms) ====== [2025-12-03T23:05:07.356Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-03T23:05:07.356Z] GC before operation: completed in 143.582 ms, heap usage 1.565 GB -> 97.445 MB. [2025-12-03T23:05:10.849Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:05:13.505Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:05:16.992Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:05:19.515Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:05:21.365Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:05:23.060Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:05:24.670Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:05:26.628Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:05:26.628Z] 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. [2025-12-03T23:05:27.420Z] The best model improves the baseline by 14.43%. [2025-12-03T23:05:27.420Z] Top recommended movies for user id 72: [2025-12-03T23:05:27.421Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-03T23:05:27.421Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-03T23:05:27.421Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-03T23:05:27.421Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-03T23:05:27.421Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-03T23:05:27.421Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19846.171 ms) ====== [2025-12-03T23:05:27.421Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-03T23:05:27.421Z] GC before operation: completed in 126.227 ms, heap usage 273.299 MB -> 91.841 MB. [2025-12-03T23:05:29.917Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:05:33.379Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:05:35.880Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:05:39.347Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:05:40.130Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:05:41.924Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:05:43.530Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:05:45.136Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:05:45.914Z] 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. [2025-12-03T23:05:45.914Z] The best model improves the baseline by 14.43%. [2025-12-03T23:05:45.914Z] Top recommended movies for user id 72: [2025-12-03T23:05:45.914Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-03T23:05:45.914Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-03T23:05:45.914Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-03T23:05:45.914Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-03T23:05:45.914Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-03T23:05:45.914Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18654.187 ms) ====== [2025-12-03T23:05:45.914Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-03T23:05:45.914Z] GC before operation: completed in 129.215 ms, heap usage 2.292 GB -> 97.986 MB. [2025-12-03T23:05:48.575Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:05:52.039Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:05:54.604Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:05:57.192Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:05:58.805Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:06:00.441Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:06:02.372Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:06:04.034Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:06:04.034Z] 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. [2025-12-03T23:06:04.034Z] The best model improves the baseline by 14.43%. [2025-12-03T23:06:04.034Z] Top recommended movies for user id 72: [2025-12-03T23:06:04.034Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-03T23:06:04.034Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-03T23:06:04.034Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-03T23:06:04.034Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-03T23:06:04.034Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-03T23:06:04.035Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18289.062 ms) ====== [2025-12-03T23:06:04.035Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-03T23:06:04.959Z] GC before operation: completed in 123.924 ms, heap usage 2.331 GB -> 98.253 MB. [2025-12-03T23:06:07.509Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:06:10.342Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:06:12.858Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:06:16.316Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:06:17.923Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:06:19.533Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:06:21.195Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:06:22.922Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:06:22.922Z] 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. [2025-12-03T23:06:22.922Z] The best model improves the baseline by 14.43%. [2025-12-03T23:06:22.922Z] Top recommended movies for user id 72: [2025-12-03T23:06:22.922Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-03T23:06:22.922Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-03T23:06:22.922Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-03T23:06:22.922Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-03T23:06:22.922Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-03T23:06:22.922Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18573.621 ms) ====== [2025-12-03T23:06:22.922Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-03T23:06:22.922Z] GC before operation: completed in 120.260 ms, heap usage 2.633 GB -> 98.103 MB. [2025-12-03T23:06:26.464Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:06:28.990Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:06:31.530Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:06:35.018Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:06:35.954Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:06:37.612Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:06:39.237Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:06:41.130Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:06:41.130Z] 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. [2025-12-03T23:06:41.130Z] The best model improves the baseline by 14.43%. [2025-12-03T23:06:41.921Z] Top recommended movies for user id 72: [2025-12-03T23:06:41.921Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-03T23:06:41.921Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-03T23:06:41.921Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-03T23:06:41.921Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-03T23:06:41.921Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-03T23:06:41.921Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18346.045 ms) ====== [2025-12-03T23:06:41.921Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-03T23:06:41.921Z] GC before operation: completed in 143.932 ms, heap usage 2.205 GB -> 98.255 MB. [2025-12-03T23:06:44.607Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:06:47.155Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:06:50.684Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:06:53.184Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:06:54.806Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:06:56.586Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:06:59.204Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:06:59.987Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:07:00.768Z] 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. [2025-12-03T23:07:00.768Z] The best model improves the baseline by 14.43%. [2025-12-03T23:07:00.768Z] Top recommended movies for user id 72: [2025-12-03T23:07:00.768Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-03T23:07:00.768Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-03T23:07:00.768Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-03T23:07:00.768Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-03T23:07:00.768Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-03T23:07:00.768Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19003.245 ms) ====== [2025-12-03T23:07:00.768Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-03T23:07:00.768Z] GC before operation: completed in 134.622 ms, heap usage 966.771 MB -> 95.918 MB. [2025-12-03T23:07:03.267Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:07:06.834Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:07:09.337Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:07:11.838Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:07:13.448Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:07:15.054Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:07:16.673Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:07:18.282Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:07:19.060Z] 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. [2025-12-03T23:07:19.060Z] The best model improves the baseline by 14.43%. [2025-12-03T23:07:19.060Z] Top recommended movies for user id 72: [2025-12-03T23:07:19.060Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-03T23:07:19.060Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-03T23:07:19.060Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-03T23:07:19.060Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-03T23:07:19.060Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-03T23:07:19.060Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18144.510 ms) ====== [2025-12-03T23:07:19.060Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-03T23:07:19.060Z] GC before operation: completed in 121.256 ms, heap usage 2.265 GB -> 98.220 MB. [2025-12-03T23:07:21.706Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:07:25.270Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:07:27.766Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:07:30.262Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:07:31.882Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:07:33.501Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:07:35.127Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:07:36.742Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:07:37.523Z] 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. [2025-12-03T23:07:37.523Z] The best model improves the baseline by 14.43%. [2025-12-03T23:07:37.523Z] Top recommended movies for user id 72: [2025-12-03T23:07:37.523Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-03T23:07:37.523Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-03T23:07:37.523Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-03T23:07:37.523Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-03T23:07:37.523Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-03T23:07:37.523Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18285.652 ms) ====== [2025-12-03T23:07:38.309Z] ----------------------------------- [2025-12-03T23:07:38.309Z] renaissance-movie-lens_0_PASSED [2025-12-03T23:07:38.309Z] ----------------------------------- [2025-12-03T23:07:38.309Z] [2025-12-03T23:07:38.309Z] TEST TEARDOWN: [2025-12-03T23:07:38.309Z] Nothing to be done for teardown. [2025-12-03T23:07:38.309Z] renaissance-movie-lens_0 Finish Time: Wed Dec 3 23:07:37 2025 Epoch Time (ms): 1764803257571