[2026-03-05T02:23:46.149Z] Running test renaissance-movie-lens_0 ... [2026-03-05T02:23:46.149Z] =============================================== [2026-03-05T02:23:46.149Z] renaissance-movie-lens_0 Start Time: Thu Mar 5 02:23:45 2026 Epoch Time (ms): 1772677425777 [2026-03-05T02:23:46.149Z] variation: NoOptions [2026-03-05T02:23:46.149Z] JVM_OPTIONS: [2026-03-05T02:23:46.149Z] { \ [2026-03-05T02:23:46.149Z] echo ""; echo "TEST SETUP:"; \ [2026-03-05T02:23:46.149Z] echo "Nothing to be done for setup."; \ [2026-03-05T02:23:46.149Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17726761534492/renaissance-movie-lens_0"; \ [2026-03-05T02:23:46.149Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17726761534492/renaissance-movie-lens_0"; \ [2026-03-05T02:23:46.149Z] echo ""; echo "TESTING:"; \ [2026-03-05T02:23:46.149Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17726761534492/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-05T02:23:46.149Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17726761534492/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-05T02:23:46.149Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-05T02:23:46.149Z] echo "Nothing to be done for teardown."; \ [2026-03-05T02:23:46.149Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17726761534492/TestTargetResult"; [2026-03-05T02:23:46.149Z] [2026-03-05T02:23:46.149Z] TEST SETUP: [2026-03-05T02:23:46.149Z] Nothing to be done for setup. [2026-03-05T02:23:46.149Z] [2026-03-05T02:23:46.149Z] TESTING: [2026-03-05T02:23:53.726Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-05T02:24:05.063Z] 02:24:03.092 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-03-05T02:24:06.929Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-05T02:24:07.737Z] Training: 60056, validation: 20285, test: 19854 [2026-03-05T02:24:07.737Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-05T02:24:07.737Z] GC before operation: completed in 130.796 ms, heap usage 255.773 MB -> 75.592 MB. [2026-03-05T02:24:17.111Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:24:22.206Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:24:26.320Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:24:30.393Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:24:32.839Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:24:34.885Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:24:36.718Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:24:39.157Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:24:39.571Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T02:24:39.571Z] The best model improves the baseline by 14.52%. [2026-03-05T02:24:39.935Z] Top recommended movies for user id 72: [2026-03-05T02:24:39.935Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:24:39.935Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:24:39.935Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:24:39.935Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:24:39.935Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:24:39.935Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (32083.233 ms) ====== [2026-03-05T02:24:39.935Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-05T02:24:39.935Z] GC before operation: completed in 141.856 ms, heap usage 461.171 MB -> 88.369 MB. [2026-03-05T02:24:43.990Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:24:47.168Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:24:51.201Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:24:54.374Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:24:56.327Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:24:58.111Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:25:00.633Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:25:02.577Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:25:02.577Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T02:25:02.577Z] The best model improves the baseline by 14.52%. [2026-03-05T02:25:02.942Z] Top recommended movies for user id 72: [2026-03-05T02:25:02.942Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:25:02.942Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:25:02.942Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:25:02.942Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:25:02.942Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:25:02.942Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (22980.882 ms) ====== [2026-03-05T02:25:02.942Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-05T02:25:02.942Z] GC before operation: completed in 129.389 ms, heap usage 145.310 MB -> 90.516 MB. [2026-03-05T02:25:06.097Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:25:10.217Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:25:13.389Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:25:15.789Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:25:17.587Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:25:20.074Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:25:21.977Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:25:23.818Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:25:23.818Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T02:25:23.818Z] The best model improves the baseline by 14.52%. [2026-03-05T02:25:24.172Z] Top recommended movies for user id 72: [2026-03-05T02:25:24.172Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:25:24.172Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:25:24.172Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:25:24.172Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:25:24.172Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:25:24.172Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21036.469 ms) ====== [2026-03-05T02:25:24.172Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-05T02:25:24.172Z] GC before operation: completed in 138.789 ms, heap usage 773.951 MB -> 93.175 MB. [2026-03-05T02:25:27.392Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:25:30.597Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:25:33.767Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:25:36.885Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:25:38.689Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:25:40.477Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:25:42.962Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:25:44.223Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:25:44.577Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T02:25:44.577Z] The best model improves the baseline by 14.52%. [2026-03-05T02:25:44.934Z] Top recommended movies for user id 72: [2026-03-05T02:25:44.934Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:25:44.934Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:25:44.934Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:25:44.934Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:25:44.934Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:25:44.934Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20761.249 ms) ====== [2026-03-05T02:25:44.934Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-05T02:25:44.934Z] GC before operation: completed in 127.503 ms, heap usage 260.476 MB -> 89.507 MB. [2026-03-05T02:25:48.080Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:25:51.357Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:25:54.540Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:25:57.728Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:25:59.528Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:26:01.338Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:26:03.133Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:26:05.584Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:26:05.584Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T02:26:05.584Z] The best model improves the baseline by 14.52%. [2026-03-05T02:26:05.941Z] Top recommended movies for user id 72: [2026-03-05T02:26:05.941Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:26:05.941Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:26:05.941Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:26:05.941Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:26:05.941Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:26:05.941Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20793.388 ms) ====== [2026-03-05T02:26:05.941Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-05T02:26:05.941Z] GC before operation: completed in 127.150 ms, heap usage 120.693 MB -> 91.803 MB. [2026-03-05T02:26:09.088Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:26:12.262Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:26:15.411Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:26:17.956Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:26:19.770Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:26:21.554Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:26:23.368Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:26:25.197Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:26:25.617Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T02:26:25.617Z] The best model improves the baseline by 14.52%. [2026-03-05T02:26:25.617Z] Top recommended movies for user id 72: [2026-03-05T02:26:25.617Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:26:25.617Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:26:25.617Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:26:25.617Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:26:25.617Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:26:25.617Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19731.385 ms) ====== [2026-03-05T02:26:25.617Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-05T02:26:25.983Z] GC before operation: completed in 130.984 ms, heap usage 717.220 MB -> 93.654 MB. [2026-03-05T02:26:29.168Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:26:32.311Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:26:34.813Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:26:37.946Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:26:39.332Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:26:41.128Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:26:42.939Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:26:44.751Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:26:44.751Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T02:26:44.751Z] The best model improves the baseline by 14.52%. [2026-03-05T02:26:45.107Z] Top recommended movies for user id 72: [2026-03-05T02:26:45.107Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:26:45.107Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:26:45.107Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:26:45.107Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:26:45.107Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:26:45.107Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19169.952 ms) ====== [2026-03-05T02:26:45.107Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-05T02:26:45.107Z] GC before operation: completed in 134.732 ms, heap usage 609.355 MB -> 93.507 MB. [2026-03-05T02:26:48.296Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:26:50.748Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:26:55.702Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:26:56.480Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:26:58.273Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:27:00.098Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:27:01.957Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:27:03.219Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:27:03.595Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T02:27:03.595Z] The best model improves the baseline by 14.52%. [2026-03-05T02:27:03.950Z] Top recommended movies for user id 72: [2026-03-05T02:27:03.950Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:27:03.950Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:27:03.950Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:27:03.950Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:27:03.950Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:27:03.950Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18708.343 ms) ====== [2026-03-05T02:27:03.950Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-05T02:27:03.950Z] GC before operation: completed in 132.181 ms, heap usage 531.092 MB -> 93.684 MB. [2026-03-05T02:27:07.214Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:27:09.638Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:27:12.815Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:27:15.228Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:27:17.095Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:27:18.345Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:27:20.153Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:27:22.008Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:27:22.388Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T02:27:22.388Z] The best model improves the baseline by 14.52%. [2026-03-05T02:27:22.388Z] Top recommended movies for user id 72: [2026-03-05T02:27:22.388Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:27:22.388Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:27:22.388Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:27:22.388Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:27:22.388Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:27:22.388Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18418.729 ms) ====== [2026-03-05T02:27:22.388Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-05T02:27:22.388Z] GC before operation: completed in 130.940 ms, heap usage 477.844 MB -> 90.201 MB. [2026-03-05T02:27:25.525Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:27:27.958Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:27:31.137Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:27:33.559Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:27:35.354Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:27:37.208Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:27:39.034Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:27:40.317Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:27:40.707Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T02:27:40.707Z] The best model improves the baseline by 14.52%. [2026-03-05T02:27:41.068Z] Top recommended movies for user id 72: [2026-03-05T02:27:41.068Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:27:41.068Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:27:41.068Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:27:41.068Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:27:41.068Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:27:41.068Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18347.389 ms) ====== [2026-03-05T02:27:41.068Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-05T02:27:41.068Z] GC before operation: completed in 130.932 ms, heap usage 382.882 MB -> 90.229 MB. [2026-03-05T02:27:44.289Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:27:46.733Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:27:49.265Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:27:52.446Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:27:53.901Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:27:55.699Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:27:57.533Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:27:59.397Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:27:59.397Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T02:27:59.397Z] The best model improves the baseline by 14.52%. [2026-03-05T02:27:59.397Z] Top recommended movies for user id 72: [2026-03-05T02:27:59.397Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:27:59.397Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:27:59.397Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:27:59.397Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:27:59.397Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:27:59.397Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18485.028 ms) ====== [2026-03-05T02:27:59.397Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-05T02:27:59.759Z] GC before operation: completed in 125.240 ms, heap usage 350.785 MB -> 89.906 MB. [2026-03-05T02:28:02.197Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:28:05.345Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:28:07.808Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:28:10.996Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:28:12.248Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:28:14.087Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:28:15.906Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:28:17.173Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:28:17.663Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T02:28:17.663Z] The best model improves the baseline by 14.52%. [2026-03-05T02:28:18.039Z] Top recommended movies for user id 72: [2026-03-05T02:28:18.039Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:28:18.039Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:28:18.039Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:28:18.039Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:28:18.039Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:28:18.039Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18203.626 ms) ====== [2026-03-05T02:28:18.039Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-05T02:28:18.039Z] GC before operation: completed in 132.814 ms, heap usage 685.474 MB -> 93.884 MB. [2026-03-05T02:28:21.203Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:28:23.634Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:28:26.843Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:28:29.342Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:28:30.629Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:28:32.454Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:28:34.263Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:28:36.069Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:28:36.430Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T02:28:36.430Z] The best model improves the baseline by 14.52%. [2026-03-05T02:28:36.785Z] Top recommended movies for user id 72: [2026-03-05T02:28:36.786Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:28:36.786Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:28:36.786Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:28:36.786Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:28:36.786Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:28:36.786Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18750.809 ms) ====== [2026-03-05T02:28:36.786Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-05T02:28:36.786Z] GC before operation: completed in 131.889 ms, heap usage 275.146 MB -> 90.185 MB. [2026-03-05T02:28:40.016Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:28:42.479Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:28:45.666Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:28:48.100Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:28:49.893Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:28:51.897Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:28:53.177Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:28:55.015Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:28:55.389Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T02:28:55.389Z] The best model improves the baseline by 14.52%. [2026-03-05T02:28:55.389Z] Top recommended movies for user id 72: [2026-03-05T02:28:55.389Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:28:55.389Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:28:55.389Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:28:55.389Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:28:55.389Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:28:55.389Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18617.539 ms) ====== [2026-03-05T02:28:55.389Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-05T02:28:55.748Z] GC before operation: completed in 125.607 ms, heap usage 447.983 MB -> 90.257 MB. [2026-03-05T02:28:58.200Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:29:01.377Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:29:03.837Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:29:07.119Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:29:08.387Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:29:10.194Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:29:11.465Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:29:13.277Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:29:13.679Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T02:29:13.679Z] The best model improves the baseline by 14.52%. [2026-03-05T02:29:13.679Z] Top recommended movies for user id 72: [2026-03-05T02:29:13.679Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:29:13.679Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:29:13.679Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:29:13.679Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:29:13.679Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:29:13.679Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18134.146 ms) ====== [2026-03-05T02:29:13.679Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-05T02:29:14.052Z] GC before operation: completed in 130.897 ms, heap usage 672.359 MB -> 94.016 MB. [2026-03-05T02:29:16.484Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:29:19.627Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:29:22.786Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:29:25.214Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:29:27.035Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:29:28.274Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:29:30.184Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:29:32.028Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:29:32.408Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T02:29:32.408Z] The best model improves the baseline by 14.52%. [2026-03-05T02:29:32.408Z] Top recommended movies for user id 72: [2026-03-05T02:29:32.408Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:29:32.408Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:29:32.408Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:29:32.408Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:29:32.408Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:29:32.408Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18681.107 ms) ====== [2026-03-05T02:29:32.408Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-05T02:29:32.784Z] GC before operation: completed in 134.676 ms, heap usage 479.236 MB -> 90.410 MB. [2026-03-05T02:29:35.934Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:29:38.395Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:29:40.856Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:29:44.037Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:29:45.292Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:29:47.070Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:29:48.989Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:29:50.240Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:29:50.600Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T02:29:50.600Z] The best model improves the baseline by 14.52%. [2026-03-05T02:29:50.955Z] Top recommended movies for user id 72: [2026-03-05T02:29:50.955Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:29:50.955Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:29:50.955Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:29:50.955Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:29:50.955Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:29:50.955Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18195.619 ms) ====== [2026-03-05T02:29:50.955Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-05T02:29:50.955Z] GC before operation: completed in 134.994 ms, heap usage 533.019 MB -> 93.795 MB. [2026-03-05T02:29:54.246Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:29:56.724Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:29:59.187Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:30:02.348Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:30:03.630Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:30:05.414Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:30:07.233Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:30:09.036Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:30:09.036Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T02:30:09.036Z] The best model improves the baseline by 14.52%. [2026-03-05T02:30:09.390Z] Top recommended movies for user id 72: [2026-03-05T02:30:09.390Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:30:09.390Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:30:09.390Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:30:09.390Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:30:09.390Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:30:09.390Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18355.819 ms) ====== [2026-03-05T02:30:09.390Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-05T02:30:09.390Z] GC before operation: completed in 136.997 ms, heap usage 905.426 MB -> 94.578 MB. [2026-03-05T02:30:12.557Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:30:15.008Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:30:18.257Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:30:20.677Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:30:22.454Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:30:24.327Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:30:25.630Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:30:27.447Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:30:27.895Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T02:30:27.895Z] The best model improves the baseline by 14.52%. [2026-03-05T02:30:27.895Z] Top recommended movies for user id 72: [2026-03-05T02:30:27.895Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:30:27.895Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:30:27.895Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:30:27.895Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:30:27.895Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:30:27.895Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18488.216 ms) ====== [2026-03-05T02:30:27.895Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-05T02:30:28.261Z] GC before operation: completed in 125.770 ms, heap usage 302.641 MB -> 90.205 MB. [2026-03-05T02:30:30.695Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:30:33.869Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:30:36.308Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:30:39.492Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:30:40.851Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:30:42.688Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:30:43.975Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:30:45.790Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:30:46.157Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T02:30:46.157Z] The best model improves the baseline by 14.52%. [2026-03-05T02:30:46.157Z] Top recommended movies for user id 72: [2026-03-05T02:30:46.157Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:30:46.157Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:30:46.157Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:30:46.157Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:30:46.157Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:30:46.157Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18135.344 ms) ====== [2026-03-05T02:30:46.916Z] ----------------------------------- [2026-03-05T02:30:46.916Z] renaissance-movie-lens_0_PASSED [2026-03-05T02:30:46.916Z] ----------------------------------- [2026-03-05T02:30:46.916Z] [2026-03-05T02:30:46.916Z] TEST TEARDOWN: [2026-03-05T02:30:46.916Z] Nothing to be done for teardown. [2026-03-05T02:30:46.916Z] renaissance-movie-lens_0 Finish Time: Thu Mar 5 02:30:46 2026 Epoch Time (ms): 1772677846784