[2026-04-23T14:39:42.331Z] Running test renaissance-movie-lens_0 ... [2026-04-23T14:39:42.331Z] =============================================== [2026-04-23T14:39:42.331Z] renaissance-movie-lens_0 Start Time: Thu Apr 23 14:39:39 2026 Epoch Time (ms): 1776955179486 [2026-04-23T14:39:42.331Z] variation: NoOptions [2026-04-23T14:39:42.331Z] JVM_OPTIONS: [2026-04-23T14:39:42.331Z] { \ [2026-04-23T14:39:42.331Z] echo ""; echo "TEST SETUP:"; \ [2026-04-23T14:39:42.331Z] echo "Nothing to be done for setup."; \ [2026-04-23T14:39:42.331Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17769542876697/renaissance-movie-lens_0"; \ [2026-04-23T14:39:42.331Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17769542876697/renaissance-movie-lens_0"; \ [2026-04-23T14:39:42.331Z] echo ""; echo "TESTING:"; \ [2026-04-23T14:39:42.331Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17769542876697/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-23T14:39:42.331Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17769542876697/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-23T14:39:42.331Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-23T14:39:42.331Z] echo "Nothing to be done for teardown."; \ [2026-04-23T14:39:42.331Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17769542876697/TestTargetResult"; [2026-04-23T14:39:42.331Z] [2026-04-23T14:39:42.331Z] TEST SETUP: [2026-04-23T14:39:42.331Z] Nothing to be done for setup. [2026-04-23T14:39:42.331Z] [2026-04-23T14:39:42.331Z] TESTING: [2026-04-23T14:39:47.524Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-23T14:39:59.900Z] 14:39:59.133 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-04-23T14:40:03.043Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-23T14:40:03.043Z] Training: 60056, validation: 20285, test: 19854 [2026-04-23T14:40:03.043Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-23T14:40:03.043Z] GC before operation: completed in 126.512 ms, heap usage 307.325 MB -> 75.828 MB. [2026-04-23T14:40:13.297Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:40:20.326Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:40:26.345Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:40:33.400Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:40:36.851Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:40:41.147Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:40:44.723Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:40:49.044Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:40:49.045Z] 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. [2026-04-23T14:40:50.009Z] The best model improves the baseline by 14.52%. [2026-04-23T14:40:50.009Z] Top recommended movies for user id 72: [2026-04-23T14:40:50.009Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-23T14:40:50.009Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-23T14:40:50.009Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-23T14:40:50.009Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-23T14:40:50.009Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-23T14:40:50.009Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (46499.917 ms) ====== [2026-04-23T14:40:50.009Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-23T14:40:50.009Z] GC before operation: completed in 296.658 ms, heap usage 331.563 MB -> 93.301 MB. [2026-04-23T14:40:57.069Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:41:02.733Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:41:07.034Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:41:12.752Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:41:15.800Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:41:17.786Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:41:22.063Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:41:25.156Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:41:25.156Z] 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. [2026-04-23T14:41:25.156Z] The best model improves the baseline by 14.52%. [2026-04-23T14:41:25.156Z] Top recommended movies for user id 72: [2026-04-23T14:41:25.156Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-23T14:41:25.156Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-23T14:41:25.156Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-23T14:41:25.156Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-23T14:41:25.156Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-23T14:41:25.156Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (35033.182 ms) ====== [2026-04-23T14:41:25.156Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-23T14:41:25.156Z] GC before operation: completed in 229.591 ms, heap usage 684.365 MB -> 94.903 MB. [2026-04-23T14:41:30.754Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:41:35.046Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:41:39.302Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:41:43.535Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:41:46.757Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:41:48.759Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:41:51.851Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:41:53.840Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:41:54.817Z] 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. [2026-04-23T14:41:54.817Z] The best model improves the baseline by 14.52%. [2026-04-23T14:41:54.817Z] Top recommended movies for user id 72: [2026-04-23T14:41:54.817Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-23T14:41:54.817Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-23T14:41:54.817Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-23T14:41:54.817Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-23T14:41:54.817Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-23T14:41:54.817Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (29331.940 ms) ====== [2026-04-23T14:41:54.817Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-23T14:41:54.817Z] GC before operation: completed in 171.510 ms, heap usage 309.991 MB -> 91.584 MB. [2026-04-23T14:42:00.448Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:42:04.916Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:42:09.131Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:42:13.509Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:42:17.324Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:42:18.317Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:42:21.427Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:42:23.424Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:42:23.425Z] 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. [2026-04-23T14:42:23.425Z] The best model improves the baseline by 14.52%. [2026-04-23T14:42:23.425Z] Top recommended movies for user id 72: [2026-04-23T14:42:23.425Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-23T14:42:23.425Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-23T14:42:23.425Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-23T14:42:23.425Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-23T14:42:23.425Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-23T14:42:23.425Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (28797.892 ms) ====== [2026-04-23T14:42:23.425Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-23T14:42:24.387Z] GC before operation: completed in 186.197 ms, heap usage 282.605 MB -> 89.654 MB. [2026-04-23T14:42:28.593Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:42:31.673Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:42:35.897Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:42:40.136Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:42:42.138Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:42:45.227Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:42:47.218Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:42:49.277Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:42:50.248Z] 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. [2026-04-23T14:42:50.248Z] The best model improves the baseline by 14.52%. [2026-04-23T14:42:50.248Z] Top recommended movies for user id 72: [2026-04-23T14:42:50.248Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-23T14:42:50.248Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-23T14:42:50.248Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-23T14:42:50.248Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-23T14:42:50.248Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-23T14:42:50.248Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (26160.104 ms) ====== [2026-04-23T14:42:50.248Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-23T14:42:50.248Z] GC before operation: completed in 211.241 ms, heap usage 259.721 MB -> 89.669 MB. [2026-04-23T14:42:54.491Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:42:58.719Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:43:02.943Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:43:07.182Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:43:09.199Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:43:11.195Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:43:14.255Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:43:16.238Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:43:16.238Z] 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. [2026-04-23T14:43:16.238Z] The best model improves the baseline by 14.52%. [2026-04-23T14:43:17.202Z] Top recommended movies for user id 72: [2026-04-23T14:43:17.202Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-23T14:43:17.202Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-23T14:43:17.202Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-23T14:43:17.202Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-23T14:43:17.202Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-23T14:43:17.202Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (26551.354 ms) ====== [2026-04-23T14:43:17.202Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-23T14:43:17.202Z] GC before operation: completed in 179.455 ms, heap usage 223.299 MB -> 93.294 MB. [2026-04-23T14:43:21.394Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:43:24.445Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:43:28.643Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:43:31.702Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:43:33.691Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:43:35.679Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:43:37.662Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:43:39.641Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:43:40.613Z] 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. [2026-04-23T14:43:40.613Z] The best model improves the baseline by 14.52%. [2026-04-23T14:43:40.613Z] Top recommended movies for user id 72: [2026-04-23T14:43:40.613Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-23T14:43:40.613Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-23T14:43:40.613Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-23T14:43:40.613Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-23T14:43:40.613Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-23T14:43:40.613Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (23644.490 ms) ====== [2026-04-23T14:43:40.613Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-23T14:43:40.613Z] GC before operation: completed in 228.351 ms, heap usage 487.311 MB -> 92.536 MB. [2026-04-23T14:43:44.892Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:43:49.098Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:43:53.302Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:43:56.358Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:43:58.342Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:44:00.329Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:44:03.380Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:44:05.462Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:44:05.462Z] 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. [2026-04-23T14:44:05.462Z] The best model improves the baseline by 14.52%. [2026-04-23T14:44:05.462Z] Top recommended movies for user id 72: [2026-04-23T14:44:05.462Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-23T14:44:05.462Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-23T14:44:05.462Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-23T14:44:05.462Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-23T14:44:05.462Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-23T14:44:05.462Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (24797.149 ms) ====== [2026-04-23T14:44:05.462Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-23T14:44:06.427Z] GC before operation: completed in 190.793 ms, heap usage 741.997 MB -> 98.455 MB. [2026-04-23T14:44:09.495Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:44:13.697Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:44:16.577Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:44:20.783Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:44:22.757Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:44:24.728Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:44:26.706Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:44:28.685Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:44:29.653Z] 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. [2026-04-23T14:44:29.653Z] The best model improves the baseline by 14.52%. [2026-04-23T14:44:29.653Z] Top recommended movies for user id 72: [2026-04-23T14:44:29.653Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-23T14:44:29.653Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-23T14:44:29.653Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-23T14:44:29.653Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-23T14:44:29.653Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-23T14:44:29.653Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (23610.565 ms) ====== [2026-04-23T14:44:29.653Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-23T14:44:29.653Z] GC before operation: completed in 133.422 ms, heap usage 134.157 MB -> 93.148 MB. [2026-04-23T14:44:33.869Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:44:36.923Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:44:41.117Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:44:43.101Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:44:45.077Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:44:47.050Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:44:49.036Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:44:51.201Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:44:51.201Z] 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. [2026-04-23T14:44:51.201Z] The best model improves the baseline by 14.52%. [2026-04-23T14:44:52.162Z] Top recommended movies for user id 72: [2026-04-23T14:44:52.162Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-23T14:44:52.162Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-23T14:44:52.162Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-23T14:44:52.162Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-23T14:44:52.162Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-23T14:44:52.162Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (22000.585 ms) ====== [2026-04-23T14:44:52.162Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-23T14:44:52.162Z] GC before operation: completed in 133.471 ms, heap usage 167.834 MB -> 91.261 MB. [2026-04-23T14:44:55.228Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:44:58.286Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:45:01.337Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:45:04.391Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:45:06.368Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:45:08.345Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:45:10.326Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:45:12.307Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:45:12.307Z] 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. [2026-04-23T14:45:12.307Z] The best model improves the baseline by 14.52%. [2026-04-23T14:45:12.307Z] Top recommended movies for user id 72: [2026-04-23T14:45:12.307Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-23T14:45:12.307Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-23T14:45:12.307Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-23T14:45:12.307Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-23T14:45:12.307Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-23T14:45:12.307Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20637.253 ms) ====== [2026-04-23T14:45:12.307Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-23T14:45:12.307Z] GC before operation: completed in 164.885 ms, heap usage 194.428 MB -> 89.903 MB. [2026-04-23T14:45:15.357Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:45:19.557Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:45:22.610Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:45:26.822Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:45:28.797Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:45:30.781Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:45:32.849Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:45:35.931Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:45:35.931Z] 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. [2026-04-23T14:45:35.931Z] The best model improves the baseline by 14.52%. [2026-04-23T14:45:35.931Z] Top recommended movies for user id 72: [2026-04-23T14:45:35.931Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-23T14:45:35.931Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-23T14:45:35.931Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-23T14:45:35.931Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-23T14:45:35.931Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-23T14:45:35.931Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (23460.984 ms) ====== [2026-04-23T14:45:35.931Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-23T14:45:35.931Z] GC before operation: completed in 166.879 ms, heap usage 370.305 MB -> 90.353 MB. [2026-04-23T14:45:40.137Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:45:44.340Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:45:48.548Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:45:51.745Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:45:54.894Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:45:57.059Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:45:59.209Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:46:01.251Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:46:02.220Z] 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. [2026-04-23T14:46:02.220Z] The best model improves the baseline by 14.52%. [2026-04-23T14:46:02.220Z] Top recommended movies for user id 72: [2026-04-23T14:46:02.220Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-23T14:46:02.220Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-23T14:46:02.220Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-23T14:46:02.220Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-23T14:46:02.220Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-23T14:46:02.220Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (26005.549 ms) ====== [2026-04-23T14:46:02.220Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-23T14:46:02.220Z] GC before operation: completed in 154.276 ms, heap usage 478.505 MB -> 90.684 MB. [2026-04-23T14:46:09.315Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:46:13.527Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:46:18.651Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:46:21.702Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:46:23.687Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:46:25.745Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:46:27.733Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:46:30.806Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:46:30.806Z] 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. [2026-04-23T14:46:30.806Z] The best model improves the baseline by 14.52%. [2026-04-23T14:46:30.806Z] Top recommended movies for user id 72: [2026-04-23T14:46:30.806Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-23T14:46:30.806Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-23T14:46:30.806Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-23T14:46:30.806Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-23T14:46:30.806Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-23T14:46:30.806Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (28666.656 ms) ====== [2026-04-23T14:46:30.806Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-23T14:46:31.769Z] GC before operation: completed in 208.101 ms, heap usage 242.868 MB -> 95.875 MB. [2026-04-23T14:46:35.972Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:46:39.164Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:46:42.465Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:46:46.772Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:46:47.736Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:46:49.718Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:46:51.698Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:46:53.719Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:46:53.719Z] 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. [2026-04-23T14:46:53.719Z] The best model improves the baseline by 14.52%. [2026-04-23T14:46:53.719Z] Top recommended movies for user id 72: [2026-04-23T14:46:53.719Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-23T14:46:53.719Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-23T14:46:53.719Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-23T14:46:53.719Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-23T14:46:53.719Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-23T14:46:53.719Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (22515.648 ms) ====== [2026-04-23T14:46:53.719Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-23T14:46:53.719Z] GC before operation: completed in 207.895 ms, heap usage 436.242 MB -> 91.772 MB. [2026-04-23T14:46:56.865Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:46:59.935Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:47:03.000Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:47:06.071Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:47:08.095Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:47:10.195Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:47:12.178Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:47:14.166Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:47:14.166Z] 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. [2026-04-23T14:47:14.166Z] The best model improves the baseline by 14.52%. [2026-04-23T14:47:14.166Z] Top recommended movies for user id 72: [2026-04-23T14:47:14.166Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-23T14:47:14.166Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-23T14:47:14.166Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-23T14:47:14.166Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-23T14:47:14.166Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-23T14:47:14.166Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20492.554 ms) ====== [2026-04-23T14:47:14.166Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-23T14:47:15.132Z] GC before operation: completed in 143.171 ms, heap usage 226.022 MB -> 91.918 MB. [2026-04-23T14:47:18.196Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:47:21.270Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:47:24.332Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:47:27.387Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:47:29.370Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:47:30.340Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:47:32.324Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:47:34.319Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:47:34.319Z] 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. [2026-04-23T14:47:34.319Z] The best model improves the baseline by 14.52%. [2026-04-23T14:47:34.319Z] Top recommended movies for user id 72: [2026-04-23T14:47:34.319Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-23T14:47:34.319Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-23T14:47:34.319Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-23T14:47:34.319Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-23T14:47:34.319Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-23T14:47:34.320Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (20048.622 ms) ====== [2026-04-23T14:47:34.320Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-23T14:47:35.286Z] GC before operation: completed in 140.091 ms, heap usage 310.655 MB -> 92.614 MB. [2026-04-23T14:47:38.370Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:47:42.609Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:47:45.849Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:47:50.058Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:47:51.022Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:47:53.011Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:47:54.997Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:47:58.063Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:47:58.063Z] 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. [2026-04-23T14:47:58.063Z] The best model improves the baseline by 14.52%. [2026-04-23T14:47:58.063Z] Top recommended movies for user id 72: [2026-04-23T14:47:58.063Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-23T14:47:58.063Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-23T14:47:58.063Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-23T14:47:58.063Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-23T14:47:58.063Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-23T14:47:58.063Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23115.785 ms) ====== [2026-04-23T14:47:58.063Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-23T14:47:58.063Z] GC before operation: completed in 173.521 ms, heap usage 532.757 MB -> 95.069 MB. [2026-04-23T14:48:02.269Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:48:05.333Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:48:09.555Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:48:12.621Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:48:14.607Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:48:17.334Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:48:19.326Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:48:21.309Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:48:21.309Z] 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. [2026-04-23T14:48:21.309Z] The best model improves the baseline by 14.52%. [2026-04-23T14:48:22.278Z] Top recommended movies for user id 72: [2026-04-23T14:48:22.278Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-23T14:48:22.278Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-23T14:48:22.278Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-23T14:48:22.278Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-23T14:48:22.278Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-23T14:48:22.278Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (23670.325 ms) ====== [2026-04-23T14:48:22.278Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-23T14:48:22.278Z] GC before operation: completed in 180.996 ms, heap usage 258.504 MB -> 95.424 MB. [2026-04-23T14:48:26.487Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-23T14:48:29.542Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-23T14:48:32.610Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-23T14:48:35.687Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-23T14:48:37.684Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-23T14:48:39.682Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-23T14:48:41.672Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-23T14:48:43.658Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-23T14:48:43.658Z] 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. [2026-04-23T14:48:43.658Z] The best model improves the baseline by 14.52%. [2026-04-23T14:48:44.708Z] Top recommended movies for user id 72: [2026-04-23T14:48:44.708Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-23T14:48:44.708Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-23T14:48:44.708Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-23T14:48:44.708Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-23T14:48:44.708Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-23T14:48:44.709Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (22216.267 ms) ====== [2026-04-23T14:48:45.672Z] ----------------------------------- [2026-04-23T14:48:45.672Z] renaissance-movie-lens_0_PASSED [2026-04-23T14:48:45.672Z] ----------------------------------- [2026-04-23T14:48:45.672Z] [2026-04-23T14:48:45.672Z] TEST TEARDOWN: [2026-04-23T14:48:45.672Z] Nothing to be done for teardown. [2026-04-23T14:48:45.672Z] renaissance-movie-lens_0 Finish Time: Thu Apr 23 14:48:45 2026 Epoch Time (ms): 1776955725532