[2026-01-14T22:56:11.802Z] Running test renaissance-movie-lens_0 ... [2026-01-14T22:56:11.802Z] =============================================== [2026-01-14T22:56:11.802Z] renaissance-movie-lens_0 Start Time: Wed Jan 14 22:56:11 2026 Epoch Time (ms): 1768431371478 [2026-01-14T22:56:11.802Z] variation: NoOptions [2026-01-14T22:56:11.802Z] JVM_OPTIONS: [2026-01-14T22:56:11.802Z] { \ [2026-01-14T22:56:11.802Z] echo ""; echo "TEST SETUP:"; \ [2026-01-14T22:56:11.802Z] echo "Nothing to be done for setup."; \ [2026-01-14T22:56:11.802Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17684297398571/renaissance-movie-lens_0"; \ [2026-01-14T22:56:11.802Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17684297398571/renaissance-movie-lens_0"; \ [2026-01-14T22:56:11.802Z] echo ""; echo "TESTING:"; \ [2026-01-14T22:56:11.802Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_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_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17684297398571/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-14T22:56:11.802Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17684297398571/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-14T22:56:11.802Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-14T22:56:11.802Z] echo "Nothing to be done for teardown."; \ [2026-01-14T22:56:11.802Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17684297398571/TestTargetResult"; [2026-01-14T22:56:11.802Z] [2026-01-14T22:56:11.802Z] TEST SETUP: [2026-01-14T22:56:11.802Z] Nothing to be done for setup. [2026-01-14T22:56:11.802Z] [2026-01-14T22:56:11.802Z] TESTING: [2026-01-14T22:56:18.517Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-14T22:56:26.661Z] 22:56:25.808 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-14T22:56:28.800Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-14T22:56:28.800Z] Training: 60056, validation: 20285, test: 19854 [2026-01-14T22:56:28.800Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-14T22:56:29.755Z] GC before operation: completed in 195.991 ms, heap usage 231.353 MB -> 74.437 MB. [2026-01-14T22:56:36.474Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:56:40.638Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:56:43.656Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:56:47.810Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:56:49.763Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:56:51.724Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:56:53.678Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:56:55.639Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:56:56.605Z] 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. [2026-01-14T22:56:56.605Z] The best model improves the baseline by 14.52%. [2026-01-14T22:56:56.605Z] Top recommended movies for user id 72: [2026-01-14T22:56:56.605Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T22:56:56.605Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T22:56:56.605Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T22:56:56.605Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T22:56:56.605Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T22:56:56.605Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (27388.811 ms) ====== [2026-01-14T22:56:56.605Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-14T22:56:56.605Z] GC before operation: completed in 200.973 ms, heap usage 379.191 MB -> 88.773 MB. [2026-01-14T22:57:00.754Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:57:03.778Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:57:07.945Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:57:10.969Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:57:13.634Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:57:15.593Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:57:17.561Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:57:19.515Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:57:19.515Z] 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. [2026-01-14T22:57:19.515Z] The best model improves the baseline by 14.52%. [2026-01-14T22:57:19.515Z] Top recommended movies for user id 72: [2026-01-14T22:57:19.515Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T22:57:19.515Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T22:57:19.515Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T22:57:19.515Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T22:57:19.515Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T22:57:19.515Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (22749.903 ms) ====== [2026-01-14T22:57:19.515Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-14T22:57:20.466Z] GC before operation: completed in 201.987 ms, heap usage 407.632 MB -> 87.721 MB. [2026-01-14T22:57:23.486Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:57:26.500Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:57:29.528Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:57:32.542Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:57:34.495Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:57:36.450Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:57:38.439Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:57:40.395Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:57:40.395Z] 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. [2026-01-14T22:57:41.348Z] The best model improves the baseline by 14.52%. [2026-01-14T22:57:41.348Z] Top recommended movies for user id 72: [2026-01-14T22:57:41.348Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T22:57:41.348Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T22:57:41.348Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T22:57:41.348Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T22:57:41.348Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T22:57:41.348Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21062.442 ms) ====== [2026-01-14T22:57:41.348Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-14T22:57:41.348Z] GC before operation: completed in 169.928 ms, heap usage 244.670 MB -> 88.163 MB. [2026-01-14T22:57:44.370Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:57:47.399Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:57:50.424Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:57:53.443Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:57:55.402Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:57:57.354Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:57:59.304Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:58:01.255Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:58:02.207Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T22:58:02.207Z] The best model improves the baseline by 14.52%. [2026-01-14T22:58:02.207Z] Top recommended movies for user id 72: [2026-01-14T22:58:02.207Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T22:58:02.207Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T22:58:02.207Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T22:58:02.207Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T22:58:02.207Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T22:58:02.207Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20758.291 ms) ====== [2026-01-14T22:58:02.207Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-14T22:58:02.207Z] GC before operation: completed in 199.465 ms, heap usage 330.030 MB -> 88.548 MB. [2026-01-14T22:58:05.221Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:58:09.133Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:58:11.097Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:58:14.144Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:58:16.099Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:58:18.056Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:58:20.014Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:58:21.973Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:58:21.974Z] 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. [2026-01-14T22:58:21.974Z] The best model improves the baseline by 14.52%. [2026-01-14T22:58:21.974Z] Top recommended movies for user id 72: [2026-01-14T22:58:21.974Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T22:58:21.974Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T22:58:21.974Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T22:58:21.974Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T22:58:21.974Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T22:58:21.974Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19812.217 ms) ====== [2026-01-14T22:58:21.974Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-14T22:58:21.974Z] GC before operation: completed in 169.005 ms, heap usage 343.713 MB -> 88.486 MB. [2026-01-14T22:58:24.999Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:58:28.145Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:58:31.162Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:58:33.116Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:58:35.075Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:58:37.036Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:58:37.988Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:58:39.945Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:58:39.945Z] 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. [2026-01-14T22:58:39.945Z] The best model improves the baseline by 14.52%. [2026-01-14T22:58:40.896Z] Top recommended movies for user id 72: [2026-01-14T22:58:40.896Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T22:58:40.896Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T22:58:40.896Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T22:58:40.896Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T22:58:40.896Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T22:58:40.896Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18389.903 ms) ====== [2026-01-14T22:58:40.896Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-14T22:58:40.896Z] GC before operation: completed in 195.210 ms, heap usage 501.230 MB -> 89.066 MB. [2026-01-14T22:58:43.919Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:58:46.936Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:58:49.953Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:58:52.995Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:58:53.948Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:58:55.905Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:58:57.865Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:58:59.824Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:58:59.824Z] 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. [2026-01-14T22:58:59.824Z] The best model improves the baseline by 14.52%. [2026-01-14T22:58:59.824Z] Top recommended movies for user id 72: [2026-01-14T22:58:59.824Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T22:58:59.824Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T22:58:59.824Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T22:58:59.824Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T22:58:59.824Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T22:58:59.824Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19497.715 ms) ====== [2026-01-14T22:58:59.824Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-14T22:59:00.776Z] GC before operation: completed in 169.612 ms, heap usage 161.202 MB -> 88.580 MB. [2026-01-14T22:59:02.910Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:59:06.628Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:59:09.654Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:59:11.610Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:59:13.567Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:59:15.529Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:59:17.483Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:59:18.453Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:59:19.404Z] 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. [2026-01-14T22:59:19.404Z] The best model improves the baseline by 14.52%. [2026-01-14T22:59:19.404Z] Top recommended movies for user id 72: [2026-01-14T22:59:19.404Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T22:59:19.404Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T22:59:19.404Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T22:59:19.404Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T22:59:19.404Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T22:59:19.404Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18959.689 ms) ====== [2026-01-14T22:59:19.404Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-14T22:59:19.404Z] GC before operation: completed in 160.409 ms, heap usage 408.744 MB -> 89.039 MB. [2026-01-14T22:59:22.425Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:59:25.445Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:59:28.465Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:59:30.423Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:59:32.380Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:59:34.334Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:59:36.296Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:59:38.252Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:59:38.252Z] 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. [2026-01-14T22:59:38.252Z] The best model improves the baseline by 14.52%. [2026-01-14T22:59:38.252Z] Top recommended movies for user id 72: [2026-01-14T22:59:38.252Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T22:59:38.252Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T22:59:38.252Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T22:59:38.252Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T22:59:38.252Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T22:59:38.252Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19044.463 ms) ====== [2026-01-14T22:59:38.252Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-14T22:59:39.206Z] GC before operation: completed in 210.072 ms, heap usage 341.617 MB -> 88.872 MB. [2026-01-14T22:59:41.174Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:59:45.332Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:59:47.289Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:59:50.339Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:59:52.296Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:59:54.264Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:59:56.233Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:59:58.192Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:59:58.192Z] 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. [2026-01-14T22:59:58.192Z] The best model improves the baseline by 14.52%. [2026-01-14T22:59:58.192Z] Top recommended movies for user id 72: [2026-01-14T22:59:58.192Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T22:59:58.192Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T22:59:58.192Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T22:59:58.192Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T22:59:58.192Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T22:59:58.192Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19517.058 ms) ====== [2026-01-14T22:59:58.192Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-14T22:59:58.192Z] GC before operation: completed in 171.392 ms, heap usage 222.970 MB -> 88.913 MB. [2026-01-14T23:00:01.219Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T23:00:04.111Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T23:00:07.172Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T23:00:10.262Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T23:00:12.277Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T23:00:13.241Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T23:00:15.215Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T23:00:17.228Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T23:00:17.228Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T23:00:17.228Z] The best model improves the baseline by 14.52%. [2026-01-14T23:00:17.228Z] Top recommended movies for user id 72: [2026-01-14T23:00:17.228Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T23:00:17.228Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T23:00:17.228Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T23:00:17.228Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T23:00:17.228Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T23:00:17.229Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19151.464 ms) ====== [2026-01-14T23:00:17.229Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-14T23:00:18.185Z] GC before operation: completed in 168.780 ms, heap usage 349.350 MB -> 88.790 MB. [2026-01-14T23:00:20.184Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T23:00:23.245Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T23:00:26.283Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T23:00:29.341Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T23:00:31.328Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T23:00:33.290Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T23:00:34.247Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T23:00:36.213Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T23:00:37.168Z] 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. [2026-01-14T23:00:37.168Z] The best model improves the baseline by 14.52%. [2026-01-14T23:00:37.168Z] Top recommended movies for user id 72: [2026-01-14T23:00:37.168Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T23:00:37.168Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T23:00:37.168Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T23:00:37.168Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T23:00:37.168Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T23:00:37.168Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19124.577 ms) ====== [2026-01-14T23:00:37.168Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-14T23:00:37.168Z] GC before operation: completed in 180.828 ms, heap usage 336.099 MB -> 89.007 MB. [2026-01-14T23:00:40.188Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T23:00:43.211Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T23:00:46.248Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T23:00:48.213Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T23:00:50.171Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T23:00:52.126Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T23:00:54.085Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T23:00:56.051Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T23:00:56.051Z] 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. [2026-01-14T23:00:56.051Z] The best model improves the baseline by 14.52%. [2026-01-14T23:00:57.005Z] Top recommended movies for user id 72: [2026-01-14T23:00:57.005Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T23:00:57.005Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T23:00:57.005Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T23:00:57.005Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T23:00:57.005Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T23:00:57.005Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19488.864 ms) ====== [2026-01-14T23:00:57.005Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-14T23:00:57.005Z] GC before operation: completed in 177.331 ms, heap usage 128.619 MB -> 88.850 MB. [2026-01-14T23:01:00.745Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T23:01:02.730Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T23:01:05.769Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T23:01:08.786Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T23:01:10.757Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T23:01:12.714Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T23:01:14.669Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T23:01:15.620Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T23:01:16.573Z] 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. [2026-01-14T23:01:16.573Z] The best model improves the baseline by 14.52%. [2026-01-14T23:01:16.573Z] Top recommended movies for user id 72: [2026-01-14T23:01:16.573Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T23:01:16.573Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T23:01:16.573Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T23:01:16.573Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T23:01:16.573Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T23:01:16.573Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19723.349 ms) ====== [2026-01-14T23:01:16.574Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-14T23:01:16.574Z] GC before operation: completed in 191.376 ms, heap usage 312.603 MB -> 88.927 MB. [2026-01-14T23:01:19.606Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T23:01:22.630Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T23:01:25.651Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T23:01:28.677Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T23:01:30.698Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T23:01:32.653Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T23:01:34.609Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T23:01:36.582Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T23:01:36.582Z] 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. [2026-01-14T23:01:36.582Z] The best model improves the baseline by 14.52%. [2026-01-14T23:01:36.582Z] Top recommended movies for user id 72: [2026-01-14T23:01:36.582Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T23:01:36.582Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T23:01:36.582Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T23:01:36.582Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T23:01:36.582Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T23:01:36.582Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19887.237 ms) ====== [2026-01-14T23:01:36.582Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-14T23:01:36.582Z] GC before operation: completed in 181.467 ms, heap usage 417.043 MB -> 89.247 MB. [2026-01-14T23:01:39.603Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T23:01:42.620Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T23:01:45.636Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T23:01:48.679Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T23:01:50.632Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T23:01:52.587Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T23:01:54.545Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T23:01:57.208Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T23:01:57.208Z] 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. [2026-01-14T23:01:57.208Z] The best model improves the baseline by 14.52%. [2026-01-14T23:01:57.208Z] Top recommended movies for user id 72: [2026-01-14T23:01:57.208Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T23:01:57.208Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T23:01:57.208Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T23:01:57.208Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T23:01:57.208Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T23:01:57.208Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20265.817 ms) ====== [2026-01-14T23:01:57.208Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-14T23:01:57.208Z] GC before operation: completed in 192.954 ms, heap usage 385.232 MB -> 89.099 MB. [2026-01-14T23:02:00.230Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T23:02:03.265Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T23:02:06.285Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T23:02:09.310Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T23:02:11.271Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T23:02:13.227Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T23:02:15.186Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T23:02:17.143Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T23:02:17.144Z] 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. [2026-01-14T23:02:17.144Z] The best model improves the baseline by 14.52%. [2026-01-14T23:02:17.144Z] Top recommended movies for user id 72: [2026-01-14T23:02:17.144Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T23:02:17.144Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T23:02:17.144Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T23:02:17.144Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T23:02:17.144Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T23:02:17.144Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (20029.491 ms) ====== [2026-01-14T23:02:17.144Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-14T23:02:17.144Z] GC before operation: completed in 202.573 ms, heap usage 412.759 MB -> 89.188 MB. [2026-01-14T23:02:20.164Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T23:02:23.201Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T23:02:26.225Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T23:02:29.263Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T23:02:31.227Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T23:02:32.180Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T23:02:34.177Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T23:02:36.137Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T23:02:36.137Z] 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. [2026-01-14T23:02:36.137Z] The best model improves the baseline by 14.52%. [2026-01-14T23:02:36.137Z] Top recommended movies for user id 72: [2026-01-14T23:02:36.137Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T23:02:36.137Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T23:02:36.137Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T23:02:36.137Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T23:02:36.137Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T23:02:36.137Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19032.539 ms) ====== [2026-01-14T23:02:36.137Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-14T23:02:37.090Z] GC before operation: completed in 166.503 ms, heap usage 271.219 MB -> 88.885 MB. [2026-01-14T23:02:39.051Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T23:02:42.083Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T23:02:45.105Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T23:02:48.124Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T23:02:50.096Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T23:02:52.055Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T23:02:53.716Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T23:02:55.673Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T23:02:55.673Z] 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. [2026-01-14T23:02:55.673Z] The best model improves the baseline by 14.52%. [2026-01-14T23:02:55.673Z] Top recommended movies for user id 72: [2026-01-14T23:02:55.673Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T23:02:55.673Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T23:02:55.673Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T23:02:55.673Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T23:02:55.673Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T23:02:55.673Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19263.631 ms) ====== [2026-01-14T23:02:55.673Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-14T23:02:55.673Z] GC before operation: completed in 164.315 ms, heap usage 328.743 MB -> 89.034 MB. [2026-01-14T23:02:58.712Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T23:03:01.740Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T23:03:04.761Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T23:03:07.789Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T23:03:09.747Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T23:03:10.700Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T23:03:12.659Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T23:03:14.623Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T23:03:14.623Z] 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. [2026-01-14T23:03:14.623Z] The best model improves the baseline by 14.52%. [2026-01-14T23:03:14.623Z] Top recommended movies for user id 72: [2026-01-14T23:03:14.623Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T23:03:14.623Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T23:03:14.623Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T23:03:14.623Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T23:03:14.623Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T23:03:14.623Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18772.737 ms) ====== [2026-01-14T23:03:15.578Z] ----------------------------------- [2026-01-14T23:03:15.578Z] renaissance-movie-lens_0_PASSED [2026-01-14T23:03:15.578Z] ----------------------------------- [2026-01-14T23:03:15.578Z] [2026-01-14T23:03:15.578Z] TEST TEARDOWN: [2026-01-14T23:03:15.578Z] Nothing to be done for teardown. [2026-01-14T23:03:15.578Z] renaissance-movie-lens_0 Finish Time: Wed Jan 14 23:03:14 2026 Epoch Time (ms): 1768431794829