[2026-02-06T23:19:14.642Z] Running test renaissance-movie-lens_0 ... [2026-02-06T23:19:14.642Z] =============================================== [2026-02-06T23:19:14.642Z] renaissance-movie-lens_0 Start Time: Fri Feb 6 23:19:13 2026 Epoch Time (ms): 1770419953794 [2026-02-06T23:19:14.642Z] variation: NoOptions [2026-02-06T23:19:14.642Z] JVM_OPTIONS: [2026-02-06T23:19:14.642Z] { \ [2026-02-06T23:19:14.642Z] echo ""; echo "TEST SETUP:"; \ [2026-02-06T23:19:14.642Z] echo "Nothing to be done for setup."; \ [2026-02-06T23:19:14.642Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17704189445556/renaissance-movie-lens_0"; \ [2026-02-06T23:19:14.642Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17704189445556/renaissance-movie-lens_0"; \ [2026-02-06T23:19:14.642Z] echo ""; echo "TESTING:"; \ [2026-02-06T23:19:14.642Z] "/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_17704189445556/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-06T23:19:14.642Z] 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_17704189445556/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-06T23:19:14.642Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-06T23:19:14.642Z] echo "Nothing to be done for teardown."; \ [2026-02-06T23:19:14.642Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17704189445556/TestTargetResult"; [2026-02-06T23:19:14.642Z] [2026-02-06T23:19:14.642Z] TEST SETUP: [2026-02-06T23:19:14.642Z] Nothing to be done for setup. [2026-02-06T23:19:14.642Z] [2026-02-06T23:19:14.642Z] TESTING: [2026-02-06T23:19:20.102Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-06T23:19:28.383Z] 23:19:27.999 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. [2026-02-06T23:19:30.376Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-06T23:19:31.346Z] Training: 60056, validation: 20285, test: 19854 [2026-02-06T23:19:31.346Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-06T23:19:31.346Z] GC before operation: completed in 156.832 ms, heap usage 162.116 MB -> 74.370 MB. [2026-02-06T23:19:38.149Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:19:41.218Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:19:44.328Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:19:47.401Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:19:50.469Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:19:51.451Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:19:54.551Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:19:56.541Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:19:56.541Z] 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. [2026-02-06T23:19:56.541Z] The best model improves the baseline by 14.52%. [2026-02-06T23:19:56.541Z] Top recommended movies for user id 72: [2026-02-06T23:19:56.541Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T23:19:56.541Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T23:19:56.541Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T23:19:56.541Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T23:19:56.541Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T23:19:56.541Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (25271.545 ms) ====== [2026-02-06T23:19:56.541Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-06T23:19:56.541Z] GC before operation: completed in 185.410 ms, heap usage 339.312 MB -> 85.559 MB. [2026-02-06T23:20:00.773Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:20:03.841Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:20:07.320Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:20:09.308Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:20:11.298Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:20:13.288Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:20:15.289Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:20:17.284Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:20:17.284Z] 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. [2026-02-06T23:20:17.284Z] The best model improves the baseline by 14.52%. [2026-02-06T23:20:18.278Z] Top recommended movies for user id 72: [2026-02-06T23:20:18.278Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T23:20:18.278Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T23:20:18.278Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T23:20:18.278Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T23:20:18.278Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T23:20:18.278Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20939.736 ms) ====== [2026-02-06T23:20:18.278Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-06T23:20:18.278Z] GC before operation: completed in 181.425 ms, heap usage 408.623 MB -> 87.747 MB. [2026-02-06T23:20:21.348Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:20:24.459Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:20:27.534Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:20:29.526Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:20:31.517Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:20:33.509Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:20:35.503Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:20:37.493Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:20:37.493Z] 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. [2026-02-06T23:20:37.493Z] The best model improves the baseline by 14.52%. [2026-02-06T23:20:37.493Z] Top recommended movies for user id 72: [2026-02-06T23:20:37.493Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T23:20:37.493Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T23:20:37.493Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T23:20:37.493Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T23:20:37.493Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T23:20:37.493Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19868.542 ms) ====== [2026-02-06T23:20:37.493Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-06T23:20:38.463Z] GC before operation: completed in 165.540 ms, heap usage 152.915 MB -> 88.032 MB. [2026-02-06T23:20:41.661Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:20:43.657Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:20:46.735Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:20:49.809Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:20:51.797Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:20:53.791Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:20:55.784Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:20:57.782Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:20:57.782Z] 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. [2026-02-06T23:20:57.782Z] The best model improves the baseline by 14.52%. [2026-02-06T23:20:57.782Z] Top recommended movies for user id 72: [2026-02-06T23:20:57.782Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T23:20:57.782Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T23:20:57.782Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T23:20:57.782Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T23:20:57.782Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T23:20:57.782Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19919.593 ms) ====== [2026-02-06T23:20:57.782Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-06T23:20:57.782Z] GC before operation: completed in 163.849 ms, heap usage 139.086 MB -> 88.312 MB. [2026-02-06T23:21:01.260Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:21:04.351Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:21:07.434Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:21:10.505Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:21:12.499Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:21:13.470Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:21:15.463Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:21:17.457Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:21:17.457Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-06T23:21:17.457Z] The best model improves the baseline by 14.52%. [2026-02-06T23:21:18.428Z] Top recommended movies for user id 72: [2026-02-06T23:21:18.428Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T23:21:18.428Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T23:21:18.428Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T23:21:18.428Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T23:21:18.428Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T23:21:18.428Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19858.169 ms) ====== [2026-02-06T23:21:18.428Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-06T23:21:18.428Z] GC before operation: completed in 164.752 ms, heap usage 226.304 MB -> 88.343 MB. [2026-02-06T23:21:21.504Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:21:23.555Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:21:26.621Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:21:29.690Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:21:31.683Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:21:33.672Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:21:35.660Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:21:36.643Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:21:37.612Z] 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. [2026-02-06T23:21:37.612Z] The best model improves the baseline by 14.52%. [2026-02-06T23:21:37.612Z] Top recommended movies for user id 72: [2026-02-06T23:21:37.612Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T23:21:37.612Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T23:21:37.612Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T23:21:37.612Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T23:21:37.612Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T23:21:37.612Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19341.625 ms) ====== [2026-02-06T23:21:37.612Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-06T23:21:37.612Z] GC before operation: completed in 179.227 ms, heap usage 334.850 MB -> 88.824 MB. [2026-02-06T23:21:40.715Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:21:42.703Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:21:45.779Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:21:47.767Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:21:49.760Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:21:51.753Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:21:52.724Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:21:55.296Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:21:55.296Z] 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. [2026-02-06T23:21:55.296Z] The best model improves the baseline by 14.52%. [2026-02-06T23:21:55.296Z] Top recommended movies for user id 72: [2026-02-06T23:21:55.296Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T23:21:55.296Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T23:21:55.296Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T23:21:55.296Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T23:21:55.296Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T23:21:55.296Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (17402.360 ms) ====== [2026-02-06T23:21:55.296Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-06T23:21:56.267Z] GC before operation: completed in 178.959 ms, heap usage 220.269 MB -> 88.600 MB. [2026-02-06T23:21:58.273Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:22:01.351Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:22:04.419Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:22:06.414Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:22:08.414Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:22:10.417Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:22:12.407Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:22:14.396Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:22:14.396Z] 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. [2026-02-06T23:22:14.396Z] The best model improves the baseline by 14.52%. [2026-02-06T23:22:14.396Z] Top recommended movies for user id 72: [2026-02-06T23:22:14.396Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T23:22:14.396Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T23:22:14.396Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T23:22:14.396Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T23:22:14.396Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T23:22:14.396Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19042.757 ms) ====== [2026-02-06T23:22:14.396Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-06T23:22:14.396Z] GC before operation: completed in 169.782 ms, heap usage 104.250 MB -> 88.732 MB. [2026-02-06T23:22:17.468Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:22:20.542Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:22:23.742Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:22:25.735Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:22:27.728Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:22:29.716Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:22:31.751Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:22:32.730Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:22:33.700Z] 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. [2026-02-06T23:22:33.700Z] The best model improves the baseline by 14.52%. [2026-02-06T23:22:33.700Z] Top recommended movies for user id 72: [2026-02-06T23:22:33.700Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T23:22:33.700Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T23:22:33.700Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T23:22:33.700Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T23:22:33.700Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T23:22:33.700Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19160.604 ms) ====== [2026-02-06T23:22:33.700Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-06T23:22:33.700Z] GC before operation: completed in 160.214 ms, heap usage 307.545 MB -> 88.814 MB. [2026-02-06T23:22:36.767Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:22:39.833Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:22:42.900Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:22:45.971Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:22:47.966Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:22:50.112Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:22:51.082Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:22:53.074Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:22:53.074Z] 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. [2026-02-06T23:22:53.074Z] The best model improves the baseline by 14.52%. [2026-02-06T23:22:53.074Z] Top recommended movies for user id 72: [2026-02-06T23:22:53.074Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T23:22:53.074Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T23:22:53.074Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T23:22:53.074Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T23:22:53.074Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T23:22:53.074Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19461.650 ms) ====== [2026-02-06T23:22:53.074Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-06T23:22:53.074Z] GC before operation: completed in 161.668 ms, heap usage 210.058 MB -> 88.856 MB. [2026-02-06T23:22:56.144Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:22:59.214Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:23:02.321Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:23:05.396Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:23:06.374Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:23:08.363Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:23:10.352Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:23:12.344Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:23:12.344Z] 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. [2026-02-06T23:23:12.344Z] The best model improves the baseline by 14.52%. [2026-02-06T23:23:12.344Z] Top recommended movies for user id 72: [2026-02-06T23:23:12.344Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T23:23:12.344Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T23:23:12.344Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T23:23:12.344Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T23:23:12.344Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T23:23:12.344Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19140.735 ms) ====== [2026-02-06T23:23:12.344Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-06T23:23:12.344Z] GC before operation: completed in 164.778 ms, heap usage 197.684 MB -> 88.574 MB. [2026-02-06T23:23:15.412Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:23:18.481Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:23:21.552Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:23:24.816Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:23:25.787Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:23:27.784Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:23:29.776Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:23:31.768Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:23:31.768Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-06T23:23:31.768Z] The best model improves the baseline by 14.52%. [2026-02-06T23:23:31.768Z] Top recommended movies for user id 72: [2026-02-06T23:23:31.768Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T23:23:31.768Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T23:23:31.768Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T23:23:31.768Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T23:23:31.768Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T23:23:31.768Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19241.044 ms) ====== [2026-02-06T23:23:31.768Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-06T23:23:31.768Z] GC before operation: completed in 185.744 ms, heap usage 153.045 MB -> 88.691 MB. [2026-02-06T23:23:34.839Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:23:37.924Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:23:41.013Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:23:44.435Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:23:45.457Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:23:47.453Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:23:49.443Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:23:51.430Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:23:51.430Z] 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. [2026-02-06T23:23:51.430Z] The best model improves the baseline by 14.52%. [2026-02-06T23:23:51.430Z] Top recommended movies for user id 72: [2026-02-06T23:23:51.430Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T23:23:51.430Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T23:23:51.430Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T23:23:51.430Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T23:23:51.430Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T23:23:51.430Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19293.131 ms) ====== [2026-02-06T23:23:51.430Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-06T23:23:51.430Z] GC before operation: completed in 159.751 ms, heap usage 106.576 MB -> 88.800 MB. [2026-02-06T23:23:54.503Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:23:57.572Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:24:00.645Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:24:02.654Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:24:04.647Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:24:06.641Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:24:08.633Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:24:09.602Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:24:10.572Z] 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. [2026-02-06T23:24:10.573Z] The best model improves the baseline by 14.52%. [2026-02-06T23:24:10.573Z] Top recommended movies for user id 72: [2026-02-06T23:24:10.573Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T23:24:10.573Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T23:24:10.573Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T23:24:10.573Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T23:24:10.573Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T23:24:10.573Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18793.252 ms) ====== [2026-02-06T23:24:10.573Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-06T23:24:10.573Z] GC before operation: completed in 163.219 ms, heap usage 127.954 MB -> 88.617 MB. [2026-02-06T23:24:13.647Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:24:15.641Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:24:18.713Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:24:20.701Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:24:22.690Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:24:24.765Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:24:25.734Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:24:27.725Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:24:27.725Z] 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. [2026-02-06T23:24:27.725Z] The best model improves the baseline by 14.52%. [2026-02-06T23:24:28.710Z] Top recommended movies for user id 72: [2026-02-06T23:24:28.710Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T23:24:28.710Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T23:24:28.710Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T23:24:28.710Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T23:24:28.710Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T23:24:28.710Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (17705.422 ms) ====== [2026-02-06T23:24:28.710Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-06T23:24:28.711Z] GC before operation: completed in 173.633 ms, heap usage 425.931 MB -> 89.244 MB. [2026-02-06T23:24:31.782Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:24:34.852Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:24:38.452Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:24:40.441Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:24:41.410Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:24:43.400Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:24:45.415Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:24:47.404Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:24:47.404Z] 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. [2026-02-06T23:24:47.404Z] The best model improves the baseline by 14.52%. [2026-02-06T23:24:47.404Z] Top recommended movies for user id 72: [2026-02-06T23:24:47.404Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T23:24:47.404Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T23:24:47.404Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T23:24:47.404Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T23:24:47.404Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T23:24:47.404Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19286.283 ms) ====== [2026-02-06T23:24:47.404Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-06T23:24:48.375Z] GC before operation: completed in 207.900 ms, heap usage 97.927 MB -> 88.739 MB. [2026-02-06T23:24:50.366Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:24:53.435Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:24:56.508Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:24:59.581Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:25:01.571Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:25:02.542Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:25:04.530Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:25:06.524Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:25:06.524Z] 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. [2026-02-06T23:25:06.524Z] The best model improves the baseline by 14.52%. [2026-02-06T23:25:07.494Z] Top recommended movies for user id 72: [2026-02-06T23:25:07.494Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T23:25:07.494Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T23:25:07.494Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T23:25:07.494Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T23:25:07.494Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T23:25:07.494Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18996.433 ms) ====== [2026-02-06T23:25:07.494Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-06T23:25:07.494Z] GC before operation: completed in 176.321 ms, heap usage 477.278 MB -> 89.260 MB. [2026-02-06T23:25:10.563Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:25:12.555Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:25:15.630Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:25:18.697Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:25:20.687Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:25:22.678Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:25:24.760Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:25:25.728Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:25:26.697Z] 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. [2026-02-06T23:25:26.698Z] The best model improves the baseline by 14.52%. [2026-02-06T23:25:26.698Z] Top recommended movies for user id 72: [2026-02-06T23:25:26.698Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T23:25:26.698Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T23:25:26.698Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T23:25:26.698Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T23:25:26.698Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T23:25:26.698Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19403.892 ms) ====== [2026-02-06T23:25:26.698Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-06T23:25:26.698Z] GC before operation: completed in 165.749 ms, heap usage 182.318 MB -> 88.747 MB. [2026-02-06T23:25:30.671Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:25:32.163Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:25:35.234Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:25:38.306Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:25:40.442Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:25:41.410Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:25:43.399Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:25:45.397Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:25:45.397Z] 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. [2026-02-06T23:25:45.397Z] The best model improves the baseline by 14.52%. [2026-02-06T23:25:46.368Z] Top recommended movies for user id 72: [2026-02-06T23:25:46.368Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T23:25:46.368Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T23:25:46.368Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T23:25:46.368Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T23:25:46.368Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T23:25:46.368Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19187.128 ms) ====== [2026-02-06T23:25:46.368Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-06T23:25:46.368Z] GC before operation: completed in 189.578 ms, heap usage 179.308 MB -> 88.852 MB. [2026-02-06T23:25:48.359Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T23:25:51.427Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T23:25:54.496Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T23:25:57.565Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T23:25:58.535Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T23:26:00.533Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T23:26:02.523Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T23:26:04.514Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T23:26:04.514Z] 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. [2026-02-06T23:26:04.514Z] The best model improves the baseline by 14.52%. [2026-02-06T23:26:04.514Z] Top recommended movies for user id 72: [2026-02-06T23:26:04.514Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T23:26:04.514Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T23:26:04.514Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T23:26:04.514Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T23:26:04.514Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T23:26:04.514Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18346.452 ms) ====== [2026-02-06T23:26:05.482Z] ----------------------------------- [2026-02-06T23:26:05.482Z] renaissance-movie-lens_0_PASSED [2026-02-06T23:26:05.482Z] ----------------------------------- [2026-02-06T23:26:05.482Z] [2026-02-06T23:26:05.482Z] TEST TEARDOWN: [2026-02-06T23:26:05.482Z] Nothing to be done for teardown. [2026-02-06T23:26:05.482Z] renaissance-movie-lens_0 Finish Time: Fri Feb 6 23:26:04 2026 Epoch Time (ms): 1770420364502