[2025-12-27T16:12:16.405Z] Running test renaissance-movie-lens_0 ... [2025-12-27T16:12:16.405Z] =============================================== [2025-12-27T16:12:16.405Z] renaissance-movie-lens_0 Start Time: Sat Dec 27 16:12:15 2025 Epoch Time (ms): 1766851935593 [2025-12-27T16:12:16.405Z] variation: NoOptions [2025-12-27T16:12:16.405Z] JVM_OPTIONS: [2025-12-27T16:12:16.405Z] { \ [2025-12-27T16:12:16.405Z] echo ""; echo "TEST SETUP:"; \ [2025-12-27T16:12:16.405Z] echo "Nothing to be done for setup."; \ [2025-12-27T16:12:16.405Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17668502117033/renaissance-movie-lens_0"; \ [2025-12-27T16:12:16.405Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17668502117033/renaissance-movie-lens_0"; \ [2025-12-27T16:12:16.405Z] echo ""; echo "TESTING:"; \ [2025-12-27T16:12:16.405Z] "/home/jenkins/workspace/Test_openjdk25_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_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17668502117033/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-27T16:12:16.405Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17668502117033/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-27T16:12:16.405Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-27T16:12:16.405Z] echo "Nothing to be done for teardown."; \ [2025-12-27T16:12:16.405Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17668502117033/TestTargetResult"; [2025-12-27T16:12:16.405Z] [2025-12-27T16:12:16.405Z] TEST SETUP: [2025-12-27T16:12:16.405Z] Nothing to be done for setup. [2025-12-27T16:12:16.405Z] [2025-12-27T16:12:16.405Z] TESTING: [2025-12-27T16:12:17.197Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-12-27T16:12:17.197Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/output_17668502117033/renaissance-movie-lens_0/launcher-161215-5224696516857479256/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-12-27T16:12:17.197Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-12-27T16:12:17.197Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-12-27T16:12:36.270Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads. [2025-12-27T16:12:46.363Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-27T16:12:46.363Z] Training: 60056, validation: 20285, test: 19854 [2025-12-27T16:12:46.363Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-27T16:12:46.363Z] GC before operation: completed in 142.747 ms, heap usage 498.504 MB -> 75.500 MB. [2025-12-27T16:12:52.077Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T16:12:55.587Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T16:12:59.083Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T16:13:02.600Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T16:13:04.226Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T16:13:05.854Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T16:13:08.399Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T16:13:10.031Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T16:13:10.826Z] 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. [2025-12-27T16:13:10.826Z] The best model improves the baseline by 14.43%. [2025-12-27T16:13:10.826Z] Top recommended movies for user id 72: [2025-12-27T16:13:10.826Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-27T16:13:10.826Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-27T16:13:10.826Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-27T16:13:10.826Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-27T16:13:10.826Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-27T16:13:10.826Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (24370.438 ms) ====== [2025-12-27T16:13:10.826Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-27T16:13:10.826Z] GC before operation: completed in 160.937 ms, heap usage 354.022 MB -> 88.835 MB. [2025-12-27T16:13:14.324Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T16:13:16.847Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T16:13:21.417Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T16:13:23.938Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T16:13:25.567Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T16:13:27.191Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T16:13:29.745Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T16:13:31.379Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T16:13:31.379Z] 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. [2025-12-27T16:13:31.379Z] The best model improves the baseline by 14.43%. [2025-12-27T16:13:31.379Z] Top recommended movies for user id 72: [2025-12-27T16:13:31.379Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-27T16:13:31.379Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-27T16:13:31.379Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-27T16:13:31.379Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-27T16:13:31.379Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-27T16:13:31.379Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20696.767 ms) ====== [2025-12-27T16:13:31.379Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-27T16:13:32.168Z] GC before operation: completed in 158.932 ms, heap usage 2.719 GB -> 95.947 MB. [2025-12-27T16:13:34.878Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T16:13:38.372Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T16:13:41.869Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T16:13:45.369Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T16:13:46.998Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T16:13:49.538Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T16:13:52.071Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T16:13:53.705Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T16:13:53.705Z] 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. [2025-12-27T16:13:53.705Z] The best model improves the baseline by 14.43%. [2025-12-27T16:13:53.705Z] Top recommended movies for user id 72: [2025-12-27T16:13:53.705Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-27T16:13:53.705Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-27T16:13:53.705Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-27T16:13:53.705Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-27T16:13:53.705Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-27T16:13:53.705Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (22138.792 ms) ====== [2025-12-27T16:13:53.705Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-27T16:13:54.494Z] GC before operation: completed in 134.392 ms, heap usage 316.913 MB -> 90.368 MB. [2025-12-27T16:13:57.028Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T16:14:00.539Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T16:14:04.038Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T16:14:07.569Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T16:14:09.198Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T16:14:10.824Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T16:14:13.349Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T16:14:14.978Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T16:14:14.978Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-12-27T16:14:15.768Z] The best model improves the baseline by 14.43%. [2025-12-27T16:14:15.768Z] Top recommended movies for user id 72: [2025-12-27T16:14:15.768Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-27T16:14:15.768Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-27T16:14:15.768Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-27T16:14:15.768Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-27T16:14:15.768Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-27T16:14:15.768Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21483.303 ms) ====== [2025-12-27T16:14:15.768Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-27T16:14:15.768Z] GC before operation: completed in 132.244 ms, heap usage 323.399 MB -> 90.644 MB. [2025-12-27T16:14:19.282Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T16:14:21.809Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T16:14:26.368Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T16:14:28.900Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T16:14:30.534Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T16:14:33.069Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T16:14:35.600Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T16:14:37.228Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T16:14:37.228Z] 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. [2025-12-27T16:14:37.228Z] The best model improves the baseline by 14.43%. [2025-12-27T16:14:37.228Z] Top recommended movies for user id 72: [2025-12-27T16:14:37.228Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-27T16:14:37.228Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-27T16:14:37.228Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-27T16:14:37.228Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-27T16:14:37.228Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-27T16:14:37.228Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21725.056 ms) ====== [2025-12-27T16:14:37.228Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-27T16:14:37.228Z] GC before operation: completed in 129.746 ms, heap usage 112.080 MB -> 90.460 MB. [2025-12-27T16:14:40.725Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T16:14:44.011Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T16:14:48.518Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T16:14:51.050Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T16:14:52.698Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T16:14:54.340Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T16:14:56.864Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T16:14:58.489Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T16:14:58.489Z] 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. [2025-12-27T16:14:58.489Z] The best model improves the baseline by 14.43%. [2025-12-27T16:14:58.489Z] Top recommended movies for user id 72: [2025-12-27T16:14:58.489Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-27T16:14:58.489Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-27T16:14:58.489Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-27T16:14:58.489Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-27T16:14:58.489Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-27T16:14:58.489Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (21093.486 ms) ====== [2025-12-27T16:14:58.489Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-27T16:14:58.489Z] GC before operation: completed in 133.102 ms, heap usage 1.054 GB -> 95.237 MB. [2025-12-27T16:15:01.988Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T16:15:04.515Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T16:15:08.119Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T16:15:11.630Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T16:15:13.277Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T16:15:14.913Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T16:15:16.551Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T16:15:18.190Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T16:15:18.979Z] 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. [2025-12-27T16:15:18.979Z] The best model improves the baseline by 14.43%. [2025-12-27T16:15:18.979Z] Top recommended movies for user id 72: [2025-12-27T16:15:18.979Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-27T16:15:18.979Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-27T16:15:18.979Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-27T16:15:18.979Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-27T16:15:18.979Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-27T16:15:18.979Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20009.561 ms) ====== [2025-12-27T16:15:18.979Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-27T16:15:18.979Z] GC before operation: completed in 151.706 ms, heap usage 2.856 GB -> 97.268 MB. [2025-12-27T16:15:21.511Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T16:15:25.011Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T16:15:29.564Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T16:15:32.108Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T16:15:33.739Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T16:15:36.263Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T16:15:37.894Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T16:15:40.451Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T16:15:40.451Z] 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. [2025-12-27T16:15:40.451Z] The best model improves the baseline by 14.43%. [2025-12-27T16:15:40.451Z] Top recommended movies for user id 72: [2025-12-27T16:15:40.451Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-27T16:15:40.451Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-27T16:15:40.451Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-27T16:15:40.451Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-27T16:15:40.451Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-27T16:15:40.451Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (21638.074 ms) ====== [2025-12-27T16:15:40.451Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-27T16:15:40.451Z] GC before operation: completed in 134.541 ms, heap usage 286.090 MB -> 91.089 MB. [2025-12-27T16:15:43.949Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T16:15:47.450Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T16:15:50.964Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T16:15:53.489Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T16:15:55.115Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T16:15:56.747Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T16:15:59.300Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T16:16:00.932Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T16:16:01.722Z] 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. [2025-12-27T16:16:01.722Z] The best model improves the baseline by 14.43%. [2025-12-27T16:16:01.722Z] Top recommended movies for user id 72: [2025-12-27T16:16:01.722Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-27T16:16:01.722Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-27T16:16:01.722Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-27T16:16:01.722Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-27T16:16:01.722Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-27T16:16:01.722Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20985.565 ms) ====== [2025-12-27T16:16:01.722Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-27T16:16:01.722Z] GC before operation: completed in 127.067 ms, heap usage 316.632 MB -> 91.195 MB. [2025-12-27T16:16:05.220Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T16:16:07.758Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T16:16:12.309Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T16:16:14.837Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T16:16:16.475Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T16:16:19.009Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T16:16:21.546Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T16:16:23.173Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T16:16:23.173Z] 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. [2025-12-27T16:16:23.173Z] The best model improves the baseline by 14.43%. [2025-12-27T16:16:23.174Z] Top recommended movies for user id 72: [2025-12-27T16:16:23.174Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-27T16:16:23.174Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-27T16:16:23.174Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-27T16:16:23.174Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-27T16:16:23.174Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-27T16:16:23.174Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (21505.390 ms) ====== [2025-12-27T16:16:23.174Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-27T16:16:23.174Z] GC before operation: completed in 132.532 ms, heap usage 317.848 MB -> 91.465 MB. [2025-12-27T16:16:26.680Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T16:16:29.220Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T16:16:32.746Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T16:16:36.243Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T16:16:37.870Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T16:16:39.510Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T16:16:42.057Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T16:16:43.722Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T16:16:43.722Z] 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. [2025-12-27T16:16:44.511Z] The best model improves the baseline by 14.43%. [2025-12-27T16:16:44.511Z] Top recommended movies for user id 72: [2025-12-27T16:16:44.511Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-27T16:16:44.511Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-27T16:16:44.511Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-27T16:16:44.511Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-27T16:16:44.511Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-27T16:16:44.511Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20773.297 ms) ====== [2025-12-27T16:16:44.511Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-27T16:16:44.511Z] GC before operation: completed in 144.750 ms, heap usage 1.021 GB -> 95.017 MB. [2025-12-27T16:16:47.042Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T16:16:50.544Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T16:16:54.073Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T16:16:56.609Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T16:16:59.139Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T16:17:00.767Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T16:17:03.294Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T16:17:04.921Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T16:17:05.707Z] 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. [2025-12-27T16:17:05.707Z] The best model improves the baseline by 14.43%. [2025-12-27T16:17:05.707Z] Top recommended movies for user id 72: [2025-12-27T16:17:05.707Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-27T16:17:05.707Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-27T16:17:05.707Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-27T16:17:05.707Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-27T16:17:05.707Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-27T16:17:05.707Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21256.205 ms) ====== [2025-12-27T16:17:05.707Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-27T16:17:05.707Z] GC before operation: completed in 127.895 ms, heap usage 358.572 MB -> 91.317 MB. [2025-12-27T16:17:08.397Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T16:17:11.912Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T16:17:16.507Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T16:17:19.032Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T16:17:20.660Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T16:17:23.182Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T16:17:24.806Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T16:17:27.340Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T16:17:27.340Z] 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. [2025-12-27T16:17:27.340Z] The best model improves the baseline by 14.43%. [2025-12-27T16:17:27.340Z] Top recommended movies for user id 72: [2025-12-27T16:17:27.340Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-27T16:17:27.340Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-27T16:17:27.340Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-27T16:17:27.340Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-27T16:17:27.340Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-27T16:17:27.341Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21464.194 ms) ====== [2025-12-27T16:17:27.341Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-27T16:17:27.341Z] GC before operation: completed in 133.248 ms, heap usage 551.655 MB -> 91.532 MB. [2025-12-27T16:17:30.842Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T16:17:33.373Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T16:17:37.939Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T16:17:40.482Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T16:17:42.115Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T16:17:43.742Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T16:17:47.022Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T16:17:49.035Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T16:17:49.035Z] 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. [2025-12-27T16:17:49.035Z] The best model improves the baseline by 14.43%. [2025-12-27T16:17:49.035Z] Top recommended movies for user id 72: [2025-12-27T16:17:49.035Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-27T16:17:49.035Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-27T16:17:49.035Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-27T16:17:49.035Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-27T16:17:49.035Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-27T16:17:49.035Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (21770.362 ms) ====== [2025-12-27T16:17:49.035Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-27T16:17:49.035Z] GC before operation: completed in 122.129 ms, heap usage 131.048 MB -> 90.963 MB. [2025-12-27T16:17:52.543Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T16:17:55.072Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T16:17:59.637Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T16:18:02.170Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T16:18:03.802Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T16:18:06.333Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T16:18:07.988Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T16:18:09.622Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T16:18:10.411Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-12-27T16:18:10.411Z] The best model improves the baseline by 14.43%. [2025-12-27T16:18:10.411Z] Top recommended movies for user id 72: [2025-12-27T16:18:10.411Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-27T16:18:10.411Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-27T16:18:10.411Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-27T16:18:10.411Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-27T16:18:10.411Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-27T16:18:10.411Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21150.103 ms) ====== [2025-12-27T16:18:10.411Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-27T16:18:10.411Z] GC before operation: completed in 131.430 ms, heap usage 363.785 MB -> 91.491 MB. [2025-12-27T16:18:13.912Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T16:18:16.439Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T16:18:21.008Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T16:18:23.534Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T16:18:25.163Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T16:18:26.789Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T16:18:29.342Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T16:18:30.972Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T16:18:30.972Z] 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. [2025-12-27T16:18:30.972Z] The best model improves the baseline by 14.43%. [2025-12-27T16:18:31.763Z] Top recommended movies for user id 72: [2025-12-27T16:18:31.763Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-27T16:18:31.763Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-27T16:18:31.763Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-27T16:18:31.763Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-27T16:18:31.763Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-27T16:18:31.763Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20777.893 ms) ====== [2025-12-27T16:18:31.763Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-27T16:18:31.763Z] GC before operation: completed in 128.716 ms, heap usage 257.950 MB -> 91.189 MB. [2025-12-27T16:18:34.663Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T16:18:37.195Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T16:18:40.696Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T16:18:44.191Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T16:18:45.823Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T16:18:48.353Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T16:18:51.855Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T16:18:53.485Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T16:18:53.485Z] 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. [2025-12-27T16:18:53.485Z] The best model improves the baseline by 14.43%. [2025-12-27T16:18:53.485Z] Top recommended movies for user id 72: [2025-12-27T16:18:53.485Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-27T16:18:53.485Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-27T16:18:53.485Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-27T16:18:53.485Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-27T16:18:53.485Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-27T16:18:53.485Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (22311.192 ms) ====== [2025-12-27T16:18:53.485Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-27T16:18:54.272Z] GC before operation: completed in 139.554 ms, heap usage 1.127 GB -> 95.837 MB. [2025-12-27T16:18:56.804Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T16:18:59.329Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T16:19:03.893Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T16:19:06.433Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T16:19:08.164Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T16:19:09.800Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T16:19:11.428Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T16:19:13.064Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T16:19:13.852Z] 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. [2025-12-27T16:19:13.852Z] The best model improves the baseline by 14.43%. [2025-12-27T16:19:13.852Z] Top recommended movies for user id 72: [2025-12-27T16:19:13.852Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-27T16:19:13.852Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-27T16:19:13.852Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-27T16:19:13.852Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-27T16:19:13.852Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-27T16:19:13.852Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19864.972 ms) ====== [2025-12-27T16:19:13.852Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-27T16:19:13.852Z] GC before operation: completed in 142.152 ms, heap usage 1.452 GB -> 96.274 MB. [2025-12-27T16:19:17.354Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T16:19:19.890Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T16:19:23.392Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T16:19:26.896Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T16:19:28.523Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T16:19:30.154Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T16:19:32.692Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T16:19:34.323Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T16:19:35.113Z] 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. [2025-12-27T16:19:35.113Z] The best model improves the baseline by 14.43%. [2025-12-27T16:19:35.113Z] Top recommended movies for user id 72: [2025-12-27T16:19:35.113Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-27T16:19:35.113Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-27T16:19:35.113Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-27T16:19:35.113Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-27T16:19:35.113Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-27T16:19:35.113Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21148.931 ms) ====== [2025-12-27T16:19:35.113Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-27T16:19:35.113Z] GC before operation: completed in 127.141 ms, heap usage 331.732 MB -> 91.402 MB. [2025-12-27T16:19:38.635Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T16:19:41.175Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T16:19:44.683Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T16:19:48.183Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T16:19:49.810Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T16:19:51.437Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T16:19:56.002Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T16:19:57.641Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T16:19:57.641Z] 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. [2025-12-27T16:19:57.641Z] The best model improves the baseline by 14.43%. [2025-12-27T16:19:57.641Z] Top recommended movies for user id 72: [2025-12-27T16:19:57.641Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-27T16:19:57.641Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-27T16:19:57.641Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-27T16:19:57.641Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-27T16:19:57.641Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-27T16:19:57.642Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (22758.808 ms) ====== [2025-12-27T16:19:58.430Z] ----------------------------------- [2025-12-27T16:19:58.430Z] renaissance-movie-lens_0_PASSED [2025-12-27T16:19:58.430Z] ----------------------------------- [2025-12-27T16:19:58.430Z] [2025-12-27T16:19:58.430Z] TEST TEARDOWN: [2025-12-27T16:19:58.430Z] Nothing to be done for teardown. [2025-12-27T16:19:58.430Z] renaissance-movie-lens_0 Finish Time: Sat Dec 27 16:19:58 2025 Epoch Time (ms): 1766852398035