[2026-01-10T13:37:32.049Z] Running test renaissance-movie-lens_0 ... [2026-01-10T13:37:32.049Z] =============================================== [2026-01-10T13:37:32.049Z] renaissance-movie-lens_0 Start Time: Sat Jan 10 13:37:31 2026 Epoch Time (ms): 1768052251218 [2026-01-10T13:37:32.049Z] variation: NoOptions [2026-01-10T13:37:32.049Z] JVM_OPTIONS: [2026-01-10T13:37:32.049Z] { \ [2026-01-10T13:37:32.049Z] echo ""; echo "TEST SETUP:"; \ [2026-01-10T13:37:32.049Z] echo "Nothing to be done for setup."; \ [2026-01-10T13:37:32.049Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17680507969033/renaissance-movie-lens_0"; \ [2026-01-10T13:37:32.049Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17680507969033/renaissance-movie-lens_0"; \ [2026-01-10T13:37:32.049Z] echo ""; echo "TESTING:"; \ [2026-01-10T13:37:32.049Z] "/home/jenkins/workspace/Test_openjdk25_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_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17680507969033/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-10T13:37:32.049Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17680507969033/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-10T13:37:32.049Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-10T13:37:32.049Z] echo "Nothing to be done for teardown."; \ [2026-01-10T13:37:32.049Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17680507969033/TestTargetResult"; [2026-01-10T13:37:32.049Z] [2026-01-10T13:37:32.049Z] TEST SETUP: [2026-01-10T13:37:32.049Z] Nothing to be done for setup. [2026-01-10T13:37:32.049Z] [2026-01-10T13:37:32.049Z] TESTING: [2026-01-10T13:37:32.049Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-10T13:37:32.049Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/output_17680507969033/renaissance-movie-lens_0/launcher-133731-8466664201681680396/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-10T13:37:32.049Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-10T13:37:32.049Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-10T13:37:37.469Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-10T13:37:44.226Z] 13:37:43.097 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. [2026-01-10T13:37:45.182Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-10T13:37:46.143Z] Training: 60056, validation: 20285, test: 19854 [2026-01-10T13:37:46.143Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-10T13:37:46.143Z] GC before operation: completed in 141.340 ms, heap usage 262.295 MB -> 75.650 MB. [2026-01-10T13:37:51.538Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T13:37:55.702Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T13:37:58.395Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T13:38:01.423Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T13:38:03.393Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T13:38:05.358Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T13:38:07.320Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T13:38:08.281Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T13:38:09.239Z] 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. [2026-01-10T13:38:09.239Z] The best model improves the baseline by 14.52%. [2026-01-10T13:38:09.239Z] Top recommended movies for user id 72: [2026-01-10T13:38:09.239Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T13:38:09.239Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T13:38:09.239Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T13:38:09.239Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T13:38:09.239Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T13:38:09.240Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23266.819 ms) ====== [2026-01-10T13:38:09.240Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-10T13:38:09.240Z] GC before operation: completed in 162.577 ms, heap usage 170.441 MB -> 89.396 MB. [2026-01-10T13:38:12.274Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T13:38:15.325Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T13:38:17.294Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T13:38:20.504Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T13:38:21.468Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T13:38:22.425Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T13:38:24.390Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T13:38:26.369Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T13:38:26.369Z] 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. [2026-01-10T13:38:26.369Z] The best model improves the baseline by 14.52%. [2026-01-10T13:38:26.369Z] Top recommended movies for user id 72: [2026-01-10T13:38:26.369Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T13:38:26.369Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T13:38:26.369Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T13:38:26.369Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T13:38:26.369Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T13:38:26.369Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17032.560 ms) ====== [2026-01-10T13:38:26.369Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-10T13:38:26.369Z] GC before operation: completed in 136.368 ms, heap usage 197.549 MB -> 88.314 MB. [2026-01-10T13:38:29.402Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T13:38:31.366Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T13:38:34.401Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T13:38:36.365Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T13:38:37.327Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T13:38:39.313Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T13:38:40.270Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T13:38:42.244Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T13:38:42.244Z] 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. [2026-01-10T13:38:42.244Z] The best model improves the baseline by 14.52%. [2026-01-10T13:38:42.244Z] Top recommended movies for user id 72: [2026-01-10T13:38:42.244Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T13:38:42.244Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T13:38:42.244Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T13:38:42.244Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T13:38:42.244Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T13:38:42.244Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15757.904 ms) ====== [2026-01-10T13:38:42.244Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-10T13:38:42.244Z] GC before operation: completed in 151.238 ms, heap usage 225.798 MB -> 89.060 MB. [2026-01-10T13:38:45.281Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T13:38:47.255Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T13:38:49.229Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T13:38:52.278Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T13:38:53.234Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T13:38:55.195Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T13:38:57.025Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T13:38:57.984Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T13:38:57.984Z] 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. [2026-01-10T13:38:57.984Z] The best model improves the baseline by 14.52%. [2026-01-10T13:38:57.984Z] Top recommended movies for user id 72: [2026-01-10T13:38:57.984Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T13:38:57.984Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T13:38:57.984Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T13:38:57.984Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T13:38:57.984Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T13:38:57.984Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15795.221 ms) ====== [2026-01-10T13:38:57.984Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-10T13:38:58.940Z] GC before operation: completed in 131.649 ms, heap usage 370.726 MB -> 89.663 MB. [2026-01-10T13:39:00.906Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T13:39:02.884Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T13:39:05.918Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T13:39:07.881Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T13:39:09.842Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T13:39:10.797Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T13:39:12.767Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T13:39:13.723Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T13:39:13.723Z] 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. [2026-01-10T13:39:13.723Z] The best model improves the baseline by 14.52%. [2026-01-10T13:39:14.679Z] Top recommended movies for user id 72: [2026-01-10T13:39:14.679Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T13:39:14.679Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T13:39:14.679Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T13:39:14.679Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T13:39:14.679Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T13:39:14.679Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15800.237 ms) ====== [2026-01-10T13:39:14.679Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-10T13:39:14.679Z] GC before operation: completed in 115.187 ms, heap usage 373.083 MB -> 89.530 MB. [2026-01-10T13:39:16.639Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T13:39:19.737Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T13:39:21.709Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T13:39:23.675Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T13:39:25.662Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T13:39:26.620Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T13:39:28.584Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T13:39:29.540Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T13:39:29.540Z] 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. [2026-01-10T13:39:29.540Z] The best model improves the baseline by 14.52%. [2026-01-10T13:39:29.540Z] Top recommended movies for user id 72: [2026-01-10T13:39:29.540Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T13:39:29.540Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T13:39:29.540Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T13:39:29.540Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T13:39:29.540Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T13:39:29.540Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15503.382 ms) ====== [2026-01-10T13:39:29.540Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-10T13:39:30.529Z] GC before operation: completed in 133.522 ms, heap usage 292.285 MB -> 89.879 MB. [2026-01-10T13:39:32.502Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T13:39:34.467Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T13:39:37.505Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T13:39:39.470Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T13:39:40.429Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T13:39:42.393Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T13:39:43.351Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T13:39:45.327Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T13:39:45.327Z] 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. [2026-01-10T13:39:45.327Z] The best model improves the baseline by 14.52%. [2026-01-10T13:39:45.327Z] Top recommended movies for user id 72: [2026-01-10T13:39:45.327Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T13:39:45.327Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T13:39:45.327Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T13:39:45.327Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T13:39:45.327Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T13:39:45.327Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15569.184 ms) ====== [2026-01-10T13:39:45.327Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-10T13:39:46.287Z] GC before operation: completed in 174.895 ms, heap usage 371.876 MB -> 89.896 MB. [2026-01-10T13:39:48.252Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T13:39:50.217Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T13:39:52.180Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T13:39:54.146Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T13:39:56.857Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T13:39:56.857Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T13:39:58.823Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T13:39:59.780Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T13:39:59.780Z] 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. [2026-01-10T13:39:59.780Z] The best model improves the baseline by 14.52%. [2026-01-10T13:39:59.780Z] Top recommended movies for user id 72: [2026-01-10T13:39:59.780Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T13:39:59.780Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T13:39:59.780Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T13:39:59.780Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T13:39:59.780Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T13:39:59.780Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14258.030 ms) ====== [2026-01-10T13:39:59.780Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-10T13:39:59.780Z] GC before operation: completed in 165.681 ms, heap usage 169.919 MB -> 89.934 MB. [2026-01-10T13:40:02.817Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T13:40:04.780Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T13:40:07.831Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T13:40:09.809Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T13:40:10.769Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T13:40:12.754Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T13:40:13.714Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T13:40:15.689Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T13:40:15.689Z] 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. [2026-01-10T13:40:15.689Z] The best model improves the baseline by 14.52%. [2026-01-10T13:40:15.689Z] Top recommended movies for user id 72: [2026-01-10T13:40:15.689Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T13:40:15.689Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T13:40:15.689Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T13:40:15.689Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T13:40:15.689Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T13:40:15.689Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15708.067 ms) ====== [2026-01-10T13:40:15.689Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-10T13:40:15.689Z] GC before operation: completed in 182.569 ms, heap usage 296.691 MB -> 90.046 MB. [2026-01-10T13:40:18.722Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T13:40:20.684Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T13:40:22.646Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T13:40:25.697Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T13:40:26.655Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T13:40:27.624Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T13:40:29.589Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T13:40:30.550Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T13:40:31.511Z] 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. [2026-01-10T13:40:31.512Z] The best model improves the baseline by 14.52%. [2026-01-10T13:40:31.512Z] Top recommended movies for user id 72: [2026-01-10T13:40:31.512Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T13:40:31.512Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T13:40:31.512Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T13:40:31.512Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T13:40:31.512Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T13:40:31.512Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15234.848 ms) ====== [2026-01-10T13:40:31.512Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-10T13:40:31.512Z] GC before operation: completed in 150.215 ms, heap usage 428.017 MB -> 90.226 MB. [2026-01-10T13:40:33.475Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T13:40:35.445Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T13:40:37.409Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T13:40:39.374Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T13:40:41.342Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T13:40:42.298Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T13:40:43.254Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T13:40:45.223Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T13:40:45.223Z] 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. [2026-01-10T13:40:45.223Z] The best model improves the baseline by 14.52%. [2026-01-10T13:40:45.223Z] Top recommended movies for user id 72: [2026-01-10T13:40:45.223Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T13:40:45.223Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T13:40:45.223Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T13:40:45.223Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T13:40:45.223Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T13:40:45.223Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13825.421 ms) ====== [2026-01-10T13:40:45.223Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-10T13:40:45.223Z] GC before operation: completed in 136.857 ms, heap usage 262.820 MB -> 89.860 MB. [2026-01-10T13:40:47.190Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T13:40:49.159Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T13:40:51.122Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T13:40:52.979Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T13:40:54.949Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T13:40:55.907Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T13:40:56.865Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T13:40:57.821Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T13:40:58.794Z] 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. [2026-01-10T13:40:58.794Z] The best model improves the baseline by 14.52%. [2026-01-10T13:40:58.794Z] Top recommended movies for user id 72: [2026-01-10T13:40:58.794Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T13:40:58.794Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T13:40:58.794Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T13:40:58.794Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T13:40:58.794Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T13:40:58.794Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (13197.506 ms) ====== [2026-01-10T13:40:58.794Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-10T13:40:58.794Z] GC before operation: completed in 131.685 ms, heap usage 631.670 MB -> 93.796 MB. [2026-01-10T13:41:00.841Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T13:41:02.802Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T13:41:05.836Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T13:41:07.797Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T13:41:08.756Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T13:41:10.718Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T13:41:11.675Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T13:41:13.637Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T13:41:13.637Z] 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. [2026-01-10T13:41:13.637Z] The best model improves the baseline by 14.52%. [2026-01-10T13:41:13.637Z] Top recommended movies for user id 72: [2026-01-10T13:41:13.637Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T13:41:13.637Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T13:41:13.637Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T13:41:13.637Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T13:41:13.637Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T13:41:13.637Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14994.222 ms) ====== [2026-01-10T13:41:13.637Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-10T13:41:13.637Z] GC before operation: completed in 127.059 ms, heap usage 428.645 MB -> 90.320 MB. [2026-01-10T13:41:15.601Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T13:41:18.630Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T13:41:20.595Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T13:41:22.566Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T13:41:24.530Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T13:41:25.488Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T13:41:26.446Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T13:41:28.411Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T13:41:28.411Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T13:41:28.411Z] The best model improves the baseline by 14.52%. [2026-01-10T13:41:28.411Z] Top recommended movies for user id 72: [2026-01-10T13:41:28.411Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T13:41:28.411Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T13:41:28.411Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T13:41:28.411Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T13:41:28.411Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T13:41:28.411Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14768.363 ms) ====== [2026-01-10T13:41:28.411Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-10T13:41:28.411Z] GC before operation: completed in 125.611 ms, heap usage 155.490 MB -> 89.826 MB. [2026-01-10T13:41:31.443Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T13:41:33.404Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T13:41:35.366Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T13:41:37.326Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T13:41:39.287Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T13:41:40.253Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T13:41:42.232Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T13:41:43.189Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T13:41:44.150Z] 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. [2026-01-10T13:41:44.150Z] The best model improves the baseline by 14.52%. [2026-01-10T13:41:44.150Z] Top recommended movies for user id 72: [2026-01-10T13:41:44.150Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T13:41:44.150Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T13:41:44.150Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T13:41:44.150Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T13:41:44.150Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T13:41:44.150Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15121.348 ms) ====== [2026-01-10T13:41:44.150Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-10T13:41:44.150Z] GC before operation: completed in 203.270 ms, heap usage 446.785 MB -> 90.468 MB. [2026-01-10T13:41:46.122Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T13:41:48.085Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T13:41:51.118Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T13:41:52.075Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T13:41:54.040Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T13:41:54.996Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T13:41:56.960Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T13:41:57.915Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T13:41:57.915Z] 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. [2026-01-10T13:41:57.915Z] The best model improves the baseline by 14.52%. [2026-01-10T13:41:57.915Z] Top recommended movies for user id 72: [2026-01-10T13:41:57.915Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T13:41:57.915Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T13:41:57.915Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T13:41:57.915Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T13:41:57.915Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T13:41:57.915Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (13981.751 ms) ====== [2026-01-10T13:41:57.915Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-10T13:41:57.915Z] GC before operation: completed in 148.124 ms, heap usage 283.796 MB -> 90.137 MB. [2026-01-10T13:42:00.619Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T13:42:02.585Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T13:42:04.565Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T13:42:07.603Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T13:42:08.561Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T13:42:09.529Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T13:42:11.494Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T13:42:12.451Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T13:42:13.425Z] 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. [2026-01-10T13:42:13.425Z] The best model improves the baseline by 14.52%. [2026-01-10T13:42:13.425Z] Top recommended movies for user id 72: [2026-01-10T13:42:13.425Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T13:42:13.425Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T13:42:13.425Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T13:42:13.425Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T13:42:13.425Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T13:42:13.425Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14829.468 ms) ====== [2026-01-10T13:42:13.425Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-10T13:42:13.425Z] GC before operation: completed in 146.661 ms, heap usage 402.175 MB -> 90.286 MB. [2026-01-10T13:42:15.388Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T13:42:17.349Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T13:42:20.377Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T13:42:22.343Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T13:42:23.301Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T13:42:25.270Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T13:42:26.231Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T13:42:27.221Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T13:42:28.177Z] 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. [2026-01-10T13:42:28.177Z] The best model improves the baseline by 14.52%. [2026-01-10T13:42:28.177Z] Top recommended movies for user id 72: [2026-01-10T13:42:28.177Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T13:42:28.177Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T13:42:28.177Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T13:42:28.177Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T13:42:28.177Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T13:42:28.177Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14667.642 ms) ====== [2026-01-10T13:42:28.177Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-10T13:42:28.177Z] GC before operation: completed in 146.988 ms, heap usage 493.648 MB -> 90.324 MB. [2026-01-10T13:42:30.150Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T13:42:32.117Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T13:42:34.081Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T13:42:36.044Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T13:42:37.002Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T13:42:38.967Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T13:42:39.923Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T13:42:41.889Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T13:42:41.889Z] 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. [2026-01-10T13:42:41.889Z] The best model improves the baseline by 14.52%. [2026-01-10T13:42:41.889Z] Top recommended movies for user id 72: [2026-01-10T13:42:41.889Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T13:42:41.889Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T13:42:41.889Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T13:42:41.889Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T13:42:41.889Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T13:42:41.889Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (13791.645 ms) ====== [2026-01-10T13:42:41.889Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-10T13:42:41.889Z] GC before operation: completed in 169.770 ms, heap usage 352.621 MB -> 90.153 MB. [2026-01-10T13:42:43.852Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T13:42:46.906Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T13:42:48.879Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T13:42:50.843Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T13:42:51.804Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T13:42:53.769Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T13:42:54.730Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T13:42:56.695Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T13:42:56.695Z] 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. [2026-01-10T13:42:56.695Z] The best model improves the baseline by 14.52%. [2026-01-10T13:42:56.695Z] Top recommended movies for user id 72: [2026-01-10T13:42:56.695Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T13:42:56.695Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T13:42:56.695Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T13:42:56.695Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T13:42:56.695Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T13:42:56.695Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14701.659 ms) ====== [2026-01-10T13:42:58.115Z] ----------------------------------- [2026-01-10T13:42:58.115Z] renaissance-movie-lens_0_PASSED [2026-01-10T13:42:58.115Z] ----------------------------------- [2026-01-10T13:42:58.115Z] [2026-01-10T13:42:58.115Z] TEST TEARDOWN: [2026-01-10T13:42:58.115Z] Nothing to be done for teardown. [2026-01-10T13:42:58.115Z] renaissance-movie-lens_0 Finish Time: Sat Jan 10 13:42:56 2026 Epoch Time (ms): 1768052576692