[2026-04-14T00:46:06.869Z] Running test renaissance-movie-lens_0 ... [2026-04-14T00:46:06.869Z] =============================================== [2026-04-14T00:46:06.869Z] renaissance-movie-lens_0 Start Time: Mon Apr 13 20:46:06 2026 Epoch Time (ms): 1776127566680 [2026-04-14T00:46:06.869Z] variation: NoOptions [2026-04-14T00:46:06.869Z] JVM_OPTIONS: [2026-04-14T00:46:06.869Z] { \ [2026-04-14T00:46:06.869Z] echo ""; echo "TEST SETUP:"; \ [2026-04-14T00:46:06.869Z] echo "Nothing to be done for setup."; \ [2026-04-14T00:46:06.869Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17761272231944/renaissance-movie-lens_0"; \ [2026-04-14T00:46:06.869Z] cd "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17761272231944/renaissance-movie-lens_0"; \ [2026-04-14T00:46:06.869Z] echo ""; echo "TESTING:"; \ [2026-04-14T00:46:06.869Z] "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17761272231944/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-14T00:46:06.869Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17761272231944/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-14T00:46:06.869Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-14T00:46:06.869Z] echo "Nothing to be done for teardown."; \ [2026-04-14T00:46:06.869Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17761272231944/TestTargetResult"; [2026-04-14T00:46:06.869Z] [2026-04-14T00:46:06.869Z] TEST SETUP: [2026-04-14T00:46:06.869Z] Nothing to be done for setup. [2026-04-14T00:46:06.869Z] [2026-04-14T00:46:06.869Z] TESTING: [2026-04-14T00:46:10.880Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-14T00:46:15.026Z] 20:46:14.614 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-04-14T00:46:15.861Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-14T00:46:16.222Z] Training: 60056, validation: 20285, test: 19854 [2026-04-14T00:46:16.222Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-14T00:46:16.222Z] GC before operation: completed in 63.746 ms, heap usage 245.861 MB -> 75.842 MB. [2026-04-14T00:46:20.305Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T00:46:22.099Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T00:46:24.049Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T00:46:26.572Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T00:46:27.374Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T00:46:28.643Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T00:46:29.893Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T00:46:30.717Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T00:46:31.075Z] 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. [2026-04-14T00:46:31.075Z] The best model improves the baseline by 14.52%. [2026-04-14T00:46:31.075Z] Top recommended movies for user id 72: [2026-04-14T00:46:31.075Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T00:46:31.075Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T00:46:31.075Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T00:46:31.075Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T00:46:31.075Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T00:46:31.075Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (14951.504 ms) ====== [2026-04-14T00:46:31.075Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-14T00:46:31.425Z] GC before operation: completed in 75.437 ms, heap usage 221.189 MB -> 94.105 MB. [2026-04-14T00:46:33.892Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T00:46:35.685Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T00:46:37.461Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T00:46:39.207Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T00:46:40.418Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T00:46:41.655Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T00:46:42.417Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T00:46:43.636Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T00:46:43.636Z] 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. [2026-04-14T00:46:44.000Z] The best model improves the baseline by 14.52%. [2026-04-14T00:46:44.000Z] Top recommended movies for user id 72: [2026-04-14T00:46:44.000Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T00:46:44.000Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T00:46:44.000Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T00:46:44.000Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T00:46:44.000Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T00:46:44.000Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (12621.525 ms) ====== [2026-04-14T00:46:44.000Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-14T00:46:44.000Z] GC before operation: completed in 63.936 ms, heap usage 257.151 MB -> 88.782 MB. [2026-04-14T00:46:46.447Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T00:46:48.257Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T00:46:50.112Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T00:46:51.992Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T00:46:53.250Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T00:46:54.505Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T00:46:55.300Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T00:46:56.639Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T00:46:56.639Z] 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. [2026-04-14T00:46:56.639Z] The best model improves the baseline by 14.52%. [2026-04-14T00:46:56.639Z] Top recommended movies for user id 72: [2026-04-14T00:46:56.639Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T00:46:56.639Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T00:46:56.639Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T00:46:56.639Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T00:46:56.639Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T00:46:56.639Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (12702.128 ms) ====== [2026-04-14T00:46:56.639Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-14T00:46:56.639Z] GC before operation: completed in 81.483 ms, heap usage 246.237 MB -> 94.000 MB. [2026-04-14T00:46:59.161Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T00:47:00.456Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T00:47:02.321Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T00:47:04.193Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T00:47:05.035Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T00:47:06.333Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T00:47:07.147Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T00:47:08.466Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T00:47:08.466Z] 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. [2026-04-14T00:47:08.466Z] The best model improves the baseline by 14.52%. [2026-04-14T00:47:08.466Z] Top recommended movies for user id 72: [2026-04-14T00:47:08.466Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T00:47:08.466Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T00:47:08.466Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T00:47:08.466Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T00:47:08.466Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T00:47:08.466Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (11778.975 ms) ====== [2026-04-14T00:47:08.466Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-14T00:47:08.466Z] GC before operation: completed in 59.442 ms, heap usage 219.309 MB -> 91.974 MB. [2026-04-14T00:47:10.915Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T00:47:12.294Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T00:47:14.130Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T00:47:15.918Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T00:47:17.161Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T00:47:18.479Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T00:47:19.249Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T00:47:20.523Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T00:47:20.523Z] 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. [2026-04-14T00:47:20.523Z] The best model improves the baseline by 14.52%. [2026-04-14T00:47:20.523Z] Top recommended movies for user id 72: [2026-04-14T00:47:20.523Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T00:47:20.523Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T00:47:20.523Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T00:47:20.523Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T00:47:20.523Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T00:47:20.523Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (12047.355 ms) ====== [2026-04-14T00:47:20.523Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-14T00:47:20.893Z] GC before operation: completed in 53.521 ms, heap usage 287.874 MB -> 92.103 MB. [2026-04-14T00:47:22.204Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T00:47:23.985Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T00:47:25.874Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T00:47:27.653Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T00:47:28.502Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T00:47:29.279Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T00:47:30.502Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T00:47:31.274Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T00:47:31.685Z] 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. [2026-04-14T00:47:31.685Z] The best model improves the baseline by 14.52%. [2026-04-14T00:47:31.685Z] Top recommended movies for user id 72: [2026-04-14T00:47:31.685Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T00:47:31.685Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T00:47:31.685Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T00:47:31.685Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T00:47:31.685Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T00:47:31.685Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (10997.422 ms) ====== [2026-04-14T00:47:31.685Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-14T00:47:31.685Z] GC before operation: completed in 60.165 ms, heap usage 258.079 MB -> 92.662 MB. [2026-04-14T00:47:33.453Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T00:47:35.226Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T00:47:36.989Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T00:47:38.772Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T00:47:39.526Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T00:47:41.304Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T00:47:42.081Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T00:47:43.354Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T00:47:43.354Z] 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. [2026-04-14T00:47:43.355Z] The best model improves the baseline by 14.52%. [2026-04-14T00:47:43.355Z] Top recommended movies for user id 72: [2026-04-14T00:47:43.355Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T00:47:43.355Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T00:47:43.355Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T00:47:43.355Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T00:47:43.355Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T00:47:43.355Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (11523.007 ms) ====== [2026-04-14T00:47:43.355Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-14T00:47:43.355Z] GC before operation: completed in 70.544 ms, heap usage 525.135 MB -> 90.526 MB. [2026-04-14T00:47:45.141Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T00:47:46.930Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T00:47:48.179Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T00:47:50.063Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T00:47:50.839Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T00:47:52.126Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T00:47:52.912Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T00:47:53.751Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T00:47:54.110Z] 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. [2026-04-14T00:47:54.110Z] The best model improves the baseline by 14.52%. [2026-04-14T00:47:54.110Z] Top recommended movies for user id 72: [2026-04-14T00:47:54.110Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T00:47:54.110Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T00:47:54.110Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T00:47:54.110Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T00:47:54.110Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T00:47:54.110Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (10774.619 ms) ====== [2026-04-14T00:47:54.110Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-14T00:47:54.110Z] GC before operation: completed in 73.512 ms, heap usage 212.360 MB -> 90.241 MB. [2026-04-14T00:47:55.925Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T00:47:57.338Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T00:47:59.312Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T00:48:00.587Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T00:48:01.861Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T00:48:02.662Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T00:48:03.517Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T00:48:04.900Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T00:48:04.900Z] 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. [2026-04-14T00:48:04.900Z] The best model improves the baseline by 14.52%. [2026-04-14T00:48:04.900Z] Top recommended movies for user id 72: [2026-04-14T00:48:04.900Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T00:48:04.900Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T00:48:04.900Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T00:48:04.900Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T00:48:04.900Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T00:48:04.900Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (10562.059 ms) ====== [2026-04-14T00:48:04.900Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-14T00:48:04.900Z] GC before operation: completed in 55.119 ms, heap usage 280.542 MB -> 90.344 MB. [2026-04-14T00:48:06.756Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T00:48:08.045Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T00:48:10.665Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T00:48:12.047Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T00:48:12.848Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T00:48:14.167Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T00:48:15.037Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T00:48:16.338Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T00:48:16.338Z] 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. [2026-04-14T00:48:16.338Z] The best model improves the baseline by 14.52%. [2026-04-14T00:48:16.701Z] Top recommended movies for user id 72: [2026-04-14T00:48:16.701Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T00:48:16.701Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T00:48:16.701Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T00:48:16.701Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T00:48:16.701Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T00:48:16.701Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (11736.435 ms) ====== [2026-04-14T00:48:16.701Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-14T00:48:16.701Z] GC before operation: completed in 65.773 ms, heap usage 279.423 MB -> 90.410 MB. [2026-04-14T00:48:18.522Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T00:48:20.524Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T00:48:21.816Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T00:48:23.087Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T00:48:23.923Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T00:48:25.162Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T00:48:26.786Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T00:48:27.230Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T00:48:27.230Z] 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. [2026-04-14T00:48:27.630Z] The best model improves the baseline by 14.52%. [2026-04-14T00:48:27.630Z] Top recommended movies for user id 72: [2026-04-14T00:48:27.630Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T00:48:27.630Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T00:48:27.630Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T00:48:27.630Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T00:48:27.630Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T00:48:27.630Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (10880.513 ms) ====== [2026-04-14T00:48:27.630Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-14T00:48:27.630Z] GC before operation: completed in 73.057 ms, heap usage 182.153 MB -> 91.805 MB. [2026-04-14T00:48:29.500Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T00:48:31.284Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T00:48:33.121Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T00:48:34.991Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T00:48:35.814Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T00:48:37.064Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T00:48:37.866Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T00:48:39.192Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T00:48:39.192Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-14T00:48:39.192Z] The best model improves the baseline by 14.52%. [2026-04-14T00:48:39.192Z] Top recommended movies for user id 72: [2026-04-14T00:48:39.192Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T00:48:39.193Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T00:48:39.193Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T00:48:39.193Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T00:48:39.193Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T00:48:39.193Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (11612.207 ms) ====== [2026-04-14T00:48:39.193Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-14T00:48:39.193Z] GC before operation: completed in 65.959 ms, heap usage 670.932 MB -> 94.206 MB. [2026-04-14T00:48:41.640Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T00:48:43.463Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T00:48:45.257Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T00:48:47.207Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T00:48:48.027Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T00:48:48.826Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T00:48:50.079Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T00:48:50.877Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T00:48:51.250Z] 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. [2026-04-14T00:48:51.250Z] The best model improves the baseline by 14.52%. [2026-04-14T00:48:51.250Z] Top recommended movies for user id 72: [2026-04-14T00:48:51.250Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T00:48:51.250Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T00:48:51.250Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T00:48:51.250Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T00:48:51.250Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T00:48:51.250Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (11960.454 ms) ====== [2026-04-14T00:48:51.250Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-14T00:48:51.250Z] GC before operation: completed in 77.036 ms, heap usage 527.778 MB -> 92.683 MB. [2026-04-14T00:48:53.184Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T00:48:55.044Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T00:48:56.986Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T00:48:58.875Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T00:48:59.697Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T00:49:00.510Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T00:49:01.952Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T00:49:02.771Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T00:49:03.141Z] 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. [2026-04-14T00:49:03.141Z] The best model improves the baseline by 14.52%. [2026-04-14T00:49:03.141Z] Top recommended movies for user id 72: [2026-04-14T00:49:03.141Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T00:49:03.141Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T00:49:03.141Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T00:49:03.141Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T00:49:03.141Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T00:49:03.141Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (11731.352 ms) ====== [2026-04-14T00:49:03.141Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-14T00:49:03.141Z] GC before operation: completed in 66.299 ms, heap usage 249.375 MB -> 90.316 MB. [2026-04-14T00:49:04.970Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T00:49:06.897Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T00:49:08.962Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T00:49:10.302Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T00:49:11.172Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T00:49:12.557Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T00:49:13.338Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T00:49:14.145Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T00:49:14.145Z] 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. [2026-04-14T00:49:14.499Z] The best model improves the baseline by 14.52%. [2026-04-14T00:49:14.499Z] Top recommended movies for user id 72: [2026-04-14T00:49:14.499Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T00:49:14.499Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T00:49:14.499Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T00:49:14.499Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T00:49:14.499Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T00:49:14.499Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (11336.668 ms) ====== [2026-04-14T00:49:14.499Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-14T00:49:14.499Z] GC before operation: completed in 66.639 ms, heap usage 181.360 MB -> 90.415 MB. [2026-04-14T00:49:16.414Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T00:49:18.302Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T00:49:20.145Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T00:49:21.472Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T00:49:22.264Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T00:49:23.078Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T00:49:23.885Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T00:49:25.165Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T00:49:25.165Z] 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. [2026-04-14T00:49:25.165Z] The best model improves the baseline by 14.52%. [2026-04-14T00:49:25.165Z] Top recommended movies for user id 72: [2026-04-14T00:49:25.165Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T00:49:25.165Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T00:49:25.165Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T00:49:25.165Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T00:49:25.165Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T00:49:25.165Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (10740.441 ms) ====== [2026-04-14T00:49:25.165Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-14T00:49:25.165Z] GC before operation: completed in 63.697 ms, heap usage 285.732 MB -> 90.460 MB. [2026-04-14T00:49:27.531Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T00:49:29.368Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T00:49:30.664Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T00:49:32.504Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T00:49:33.314Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T00:49:34.669Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T00:49:35.463Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T00:49:36.765Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T00:49:36.765Z] 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. [2026-04-14T00:49:36.765Z] The best model improves the baseline by 14.52%. [2026-04-14T00:49:36.765Z] Top recommended movies for user id 72: [2026-04-14T00:49:36.765Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T00:49:36.765Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T00:49:36.765Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T00:49:36.765Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T00:49:36.765Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T00:49:36.765Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (11468.283 ms) ====== [2026-04-14T00:49:36.765Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-14T00:49:36.765Z] GC before operation: completed in 71.474 ms, heap usage 212.629 MB -> 90.376 MB. [2026-04-14T00:49:39.236Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T00:49:40.572Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T00:49:42.402Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T00:49:44.363Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T00:49:45.186Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T00:49:48.670Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T00:49:48.670Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T00:49:48.670Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T00:49:48.670Z] 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. [2026-04-14T00:49:48.670Z] The best model improves the baseline by 14.52%. [2026-04-14T00:49:48.670Z] Top recommended movies for user id 72: [2026-04-14T00:49:48.670Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T00:49:48.670Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T00:49:48.670Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T00:49:48.670Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T00:49:48.670Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T00:49:48.670Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (11582.066 ms) ====== [2026-04-14T00:49:48.670Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-14T00:49:48.670Z] GC before operation: completed in 70.452 ms, heap usage 366.326 MB -> 92.259 MB. [2026-04-14T00:49:50.526Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T00:49:51.843Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T00:49:53.636Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T00:49:54.977Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T00:49:56.272Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T00:49:57.121Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T00:49:58.423Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T00:49:59.186Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T00:49:59.186Z] 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. [2026-04-14T00:49:59.186Z] The best model improves the baseline by 14.52%. [2026-04-14T00:49:59.603Z] Top recommended movies for user id 72: [2026-04-14T00:49:59.603Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T00:49:59.603Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T00:49:59.603Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T00:49:59.603Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T00:49:59.603Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T00:49:59.603Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (10860.788 ms) ====== [2026-04-14T00:49:59.603Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-14T00:49:59.603Z] GC before operation: completed in 66.087 ms, heap usage 266.035 MB -> 90.474 MB. [2026-04-14T00:50:00.932Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T00:50:02.881Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T00:50:04.421Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T00:50:05.694Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T00:50:07.110Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T00:50:07.936Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T00:50:09.320Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T00:50:10.148Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T00:50:10.550Z] 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. [2026-04-14T00:50:10.550Z] The best model improves the baseline by 14.52%. [2026-04-14T00:50:10.550Z] Top recommended movies for user id 72: [2026-04-14T00:50:10.550Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T00:50:10.551Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T00:50:10.551Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T00:50:10.551Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T00:50:10.551Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T00:50:10.551Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (11075.904 ms) ====== [2026-04-14T00:50:10.965Z] ----------------------------------- [2026-04-14T00:50:10.965Z] renaissance-movie-lens_0_PASSED [2026-04-14T00:50:10.965Z] ----------------------------------- [2026-04-14T00:50:10.965Z] [2026-04-14T00:50:10.965Z] TEST TEARDOWN: [2026-04-14T00:50:10.965Z] Nothing to be done for teardown. [2026-04-14T00:50:10.965Z] renaissance-movie-lens_0 Finish Time: Mon Apr 13 20:50:10 2026 Epoch Time (ms): 1776127810645