[2026-03-04T22:03:25.678Z] Running test renaissance-movie-lens_0 ... [2026-03-04T22:03:25.678Z] =============================================== [2026-03-04T22:03:25.678Z] renaissance-movie-lens_0 Start Time: Wed Mar 4 17:03:25 2026 Epoch Time (ms): 1772661805502 [2026-03-04T22:03:25.678Z] variation: NoOptions [2026-03-04T22:03:25.678Z] JVM_OPTIONS: [2026-03-04T22:03:25.678Z] { \ [2026-03-04T22:03:25.678Z] echo ""; echo "TEST SETUP:"; \ [2026-03-04T22:03:25.678Z] echo "Nothing to be done for setup."; \ [2026-03-04T22:03:25.678Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17726614874414/renaissance-movie-lens_0"; \ [2026-03-04T22:03:25.678Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17726614874414/renaissance-movie-lens_0"; \ [2026-03-04T22:03:25.678Z] echo ""; echo "TESTING:"; \ [2026-03-04T22:03:25.678Z] "/Users/admin/workspace/workspace/Test_openjdk21_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_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17726614874414/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-04T22:03:25.678Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17726614874414/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-04T22:03:25.678Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-04T22:03:25.678Z] echo "Nothing to be done for teardown."; \ [2026-03-04T22:03:25.678Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17726614874414/TestTargetResult"; [2026-03-04T22:03:25.678Z] [2026-03-04T22:03:25.678Z] TEST SETUP: [2026-03-04T22:03:25.678Z] Nothing to be done for setup. [2026-03-04T22:03:25.678Z] [2026-03-04T22:03:25.678Z] TESTING: [2026-03-04T22:03:28.185Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-04T22:03:30.754Z] 17:03:30.145 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. [2026-03-04T22:03:31.142Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-04T22:03:31.574Z] Training: 60056, validation: 20285, test: 19854 [2026-03-04T22:03:31.574Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-04T22:03:31.574Z] GC before operation: completed in 45.151 ms, heap usage 201.863 MB -> 75.965 MB. [2026-03-04T22:03:33.580Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:03:36.887Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:03:36.887Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:03:38.232Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:03:39.040Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:03:39.438Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:03:40.236Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:03:41.030Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:03:41.030Z] 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. [2026-03-04T22:03:41.030Z] The best model improves the baseline by 14.52%. [2026-03-04T22:03:41.030Z] Top recommended movies for user id 72: [2026-03-04T22:03:41.030Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:03:41.030Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:03:41.030Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:03:41.030Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:03:41.030Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:03:41.030Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (9772.324 ms) ====== [2026-03-04T22:03:41.030Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-04T22:03:41.409Z] GC before operation: completed in 56.599 ms, heap usage 422.685 MB -> 86.797 MB. [2026-03-04T22:03:42.807Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:03:43.651Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:03:44.955Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:03:45.819Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:03:46.891Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:03:47.318Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:03:48.176Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:03:48.568Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:03:48.973Z] 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. [2026-03-04T22:03:48.973Z] The best model improves the baseline by 14.52%. [2026-03-04T22:03:48.973Z] Top recommended movies for user id 72: [2026-03-04T22:03:48.973Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:03:48.973Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:03:48.973Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:03:48.973Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:03:48.973Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:03:48.973Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (7605.829 ms) ====== [2026-03-04T22:03:48.974Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-04T22:03:48.974Z] GC before operation: completed in 48.425 ms, heap usage 392.819 MB -> 89.038 MB. [2026-03-04T22:03:50.263Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:03:51.062Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:03:52.483Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:03:53.290Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:03:54.105Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:03:54.476Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:03:55.412Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:03:55.830Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:03:56.270Z] 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. [2026-03-04T22:03:56.270Z] The best model improves the baseline by 14.52%. [2026-03-04T22:03:56.270Z] Top recommended movies for user id 72: [2026-03-04T22:03:56.270Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:03:56.270Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:03:56.270Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:03:56.270Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:03:56.270Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:03:56.270Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (7256.696 ms) ====== [2026-03-04T22:03:56.270Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-04T22:03:56.270Z] GC before operation: completed in 45.590 ms, heap usage 101.351 MB -> 89.179 MB. [2026-03-04T22:03:57.198Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:03:58.756Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:03:59.627Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:04:00.480Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:04:01.309Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:04:02.164Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:04:03.017Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:04:03.873Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:04:03.873Z] 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. [2026-03-04T22:04:03.873Z] The best model improves the baseline by 14.52%. [2026-03-04T22:04:03.873Z] Top recommended movies for user id 72: [2026-03-04T22:04:03.873Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:04:03.873Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:04:03.873Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:04:03.873Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:04:03.873Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:04:03.874Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (7643.445 ms) ====== [2026-03-04T22:04:03.874Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-04T22:04:03.874Z] GC before operation: completed in 52.506 ms, heap usage 129.283 MB -> 93.123 MB. [2026-03-04T22:04:05.085Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:04:05.950Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:04:07.830Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:04:09.510Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:04:10.451Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:04:11.501Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:04:11.952Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:04:12.851Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:04:13.220Z] 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. [2026-03-04T22:04:13.220Z] The best model improves the baseline by 14.52%. [2026-03-04T22:04:13.220Z] Top recommended movies for user id 72: [2026-03-04T22:04:13.220Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:04:13.220Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:04:13.220Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:04:13.220Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:04:13.220Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:04:13.220Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (9226.604 ms) ====== [2026-03-04T22:04:13.220Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-04T22:04:13.220Z] GC before operation: completed in 54.056 ms, heap usage 235.515 MB -> 89.668 MB. [2026-03-04T22:04:14.580Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:04:16.240Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:04:17.059Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:04:18.414Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:04:19.528Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:04:19.948Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:04:21.346Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:04:21.758Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:04:22.125Z] 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. [2026-03-04T22:04:22.125Z] The best model improves the baseline by 14.52%. [2026-03-04T22:04:22.125Z] Top recommended movies for user id 72: [2026-03-04T22:04:22.125Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:04:22.125Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:04:22.125Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:04:22.125Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:04:22.125Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:04:22.125Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (9016.843 ms) ====== [2026-03-04T22:04:22.125Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-04T22:04:22.125Z] GC before operation: completed in 70.593 ms, heap usage 377.581 MB -> 90.168 MB. [2026-03-04T22:04:23.485Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:04:25.194Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:04:26.123Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:04:27.442Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:04:27.829Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:04:28.624Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:04:29.618Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:04:30.050Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:04:30.050Z] 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. [2026-03-04T22:04:30.050Z] The best model improves the baseline by 14.52%. [2026-03-04T22:04:30.050Z] Top recommended movies for user id 72: [2026-03-04T22:04:30.050Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:04:30.050Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:04:30.050Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:04:30.050Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:04:30.050Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:04:30.050Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (7752.496 ms) ====== [2026-03-04T22:04:30.050Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-04T22:04:30.050Z] GC before operation: completed in 48.373 ms, heap usage 448.526 MB -> 90.396 MB. [2026-03-04T22:04:31.414Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:04:32.252Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:04:33.639Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:04:34.493Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:04:35.333Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:04:35.714Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:04:36.511Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:04:36.884Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:04:37.394Z] 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. [2026-03-04T22:04:37.394Z] The best model improves the baseline by 14.52%. [2026-03-04T22:04:37.394Z] Top recommended movies for user id 72: [2026-03-04T22:04:37.394Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:04:37.394Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:04:37.394Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:04:37.394Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:04:37.394Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:04:37.394Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (7148.825 ms) ====== [2026-03-04T22:04:37.394Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-04T22:04:37.394Z] GC before operation: completed in 50.242 ms, heap usage 106.774 MB -> 90.122 MB. [2026-03-04T22:04:38.238Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:04:39.564Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:04:40.868Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:04:41.666Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:04:42.067Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:04:42.939Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:04:43.754Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:04:44.135Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:04:44.135Z] 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. [2026-03-04T22:04:44.135Z] The best model improves the baseline by 14.52%. [2026-03-04T22:04:44.511Z] Top recommended movies for user id 72: [2026-03-04T22:04:44.511Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:04:44.511Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:04:44.511Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:04:44.511Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:04:44.511Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:04:44.511Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (7084.379 ms) ====== [2026-03-04T22:04:44.511Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-04T22:04:44.511Z] GC before operation: completed in 51.884 ms, heap usage 181.346 MB -> 91.777 MB. [2026-03-04T22:04:45.370Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:04:46.276Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:04:47.590Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:04:48.484Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:04:48.866Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:04:49.691Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:04:50.088Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:04:50.944Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:04:50.944Z] 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. [2026-03-04T22:04:50.944Z] The best model improves the baseline by 14.52%. [2026-03-04T22:04:50.944Z] Top recommended movies for user id 72: [2026-03-04T22:04:50.944Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:04:50.944Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:04:50.944Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:04:50.944Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:04:50.944Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:04:50.944Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (6542.041 ms) ====== [2026-03-04T22:04:50.944Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-04T22:04:50.944Z] GC before operation: completed in 52.795 ms, heap usage 201.557 MB -> 90.337 MB. [2026-03-04T22:04:52.253Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:04:53.086Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:04:54.001Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:04:55.406Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:04:55.762Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:04:56.159Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:04:56.978Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:04:57.391Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:04:57.391Z] 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. [2026-03-04T22:04:57.774Z] The best model improves the baseline by 14.52%. [2026-03-04T22:04:57.774Z] Top recommended movies for user id 72: [2026-03-04T22:04:57.774Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:04:57.774Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:04:57.774Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:04:57.774Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:04:57.774Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:04:57.774Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (6576.699 ms) ====== [2026-03-04T22:04:57.774Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-04T22:04:57.774Z] GC before operation: completed in 46.271 ms, heap usage 497.992 MB -> 90.474 MB. [2026-03-04T22:04:58.645Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:04:59.460Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:05:00.336Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:05:02.970Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:05:02.970Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:05:02.970Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:05:03.589Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:05:04.039Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:05:04.039Z] 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. [2026-03-04T22:05:04.039Z] The best model improves the baseline by 14.52%. [2026-03-04T22:05:04.039Z] Top recommended movies for user id 72: [2026-03-04T22:05:04.039Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:05:04.039Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:05:04.039Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:05:04.039Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:05:04.039Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:05:04.039Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (6303.406 ms) ====== [2026-03-04T22:05:04.039Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-04T22:05:04.039Z] GC before operation: completed in 52.837 ms, heap usage 202.897 MB -> 90.311 MB. [2026-03-04T22:05:04.930Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:05:06.195Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:05:06.997Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:05:08.010Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:05:08.443Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:05:08.848Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:05:09.638Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:05:10.283Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:05:10.283Z] 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. [2026-03-04T22:05:10.283Z] The best model improves the baseline by 14.52%. [2026-03-04T22:05:10.283Z] Top recommended movies for user id 72: [2026-03-04T22:05:10.283Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:05:10.283Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:05:10.283Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:05:10.283Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:05:10.283Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:05:10.283Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (6375.459 ms) ====== [2026-03-04T22:05:10.283Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-04T22:05:10.283Z] GC before operation: completed in 49.409 ms, heap usage 395.221 MB -> 90.668 MB. [2026-03-04T22:05:11.346Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:05:12.771Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:05:13.656Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:05:15.009Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:05:15.402Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:05:15.956Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:05:16.350Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:05:17.179Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:05:17.179Z] 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. [2026-03-04T22:05:17.179Z] The best model improves the baseline by 14.52%. [2026-03-04T22:05:17.179Z] Top recommended movies for user id 72: [2026-03-04T22:05:17.179Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:05:17.179Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:05:17.179Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:05:17.179Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:05:17.179Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:05:17.179Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (6819.612 ms) ====== [2026-03-04T22:05:17.179Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-04T22:05:17.179Z] GC before operation: completed in 39.789 ms, heap usage 156.999 MB -> 93.195 MB. [2026-03-04T22:05:18.099Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:05:19.429Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:05:20.259Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:05:21.088Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:05:21.881Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:05:22.261Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:05:23.128Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:05:23.556Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:05:23.963Z] 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. [2026-03-04T22:05:23.963Z] The best model improves the baseline by 14.52%. [2026-03-04T22:05:23.963Z] Top recommended movies for user id 72: [2026-03-04T22:05:23.963Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:05:23.963Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:05:23.963Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:05:23.964Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:05:23.964Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:05:23.964Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (6545.782 ms) ====== [2026-03-04T22:05:23.964Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-04T22:05:23.964Z] GC before operation: completed in 38.709 ms, heap usage 369.979 MB -> 90.650 MB. [2026-03-04T22:05:24.777Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:05:25.631Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:05:26.971Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:05:27.834Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:05:28.220Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:05:28.621Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:05:29.452Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:05:29.887Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:05:30.335Z] 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. [2026-03-04T22:05:30.335Z] The best model improves the baseline by 14.52%. [2026-03-04T22:05:30.335Z] Top recommended movies for user id 72: [2026-03-04T22:05:30.335Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:05:30.335Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:05:30.335Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:05:30.335Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:05:30.335Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:05:30.335Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (6281.589 ms) ====== [2026-03-04T22:05:30.335Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-04T22:05:30.335Z] GC before operation: completed in 37.342 ms, heap usage 279.607 MB -> 90.477 MB. [2026-03-04T22:05:31.170Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:05:32.281Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:05:33.183Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:05:34.151Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:05:35.213Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:05:35.213Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:05:36.058Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:05:36.703Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:05:37.165Z] 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. [2026-03-04T22:05:37.165Z] The best model improves the baseline by 14.52%. [2026-03-04T22:05:37.165Z] Top recommended movies for user id 72: [2026-03-04T22:05:37.165Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:05:37.165Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:05:37.165Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:05:37.165Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:05:37.165Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:05:37.165Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (6770.060 ms) ====== [2026-03-04T22:05:37.165Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-04T22:05:37.165Z] GC before operation: completed in 41.675 ms, heap usage 381.541 MB -> 90.548 MB. [2026-03-04T22:05:38.208Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:05:39.172Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:05:40.018Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:05:41.037Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:05:41.481Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:05:42.455Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:05:42.900Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:05:43.810Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:05:43.810Z] 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. [2026-03-04T22:05:43.810Z] The best model improves the baseline by 14.52%. [2026-03-04T22:05:43.810Z] Top recommended movies for user id 72: [2026-03-04T22:05:43.810Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:05:43.810Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:05:43.810Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:05:43.810Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:05:43.810Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:05:43.810Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (6712.519 ms) ====== [2026-03-04T22:05:43.810Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-04T22:05:43.810Z] GC before operation: completed in 39.896 ms, heap usage 204.384 MB -> 90.112 MB. [2026-03-04T22:05:44.700Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:05:46.166Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:05:47.074Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:05:47.998Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:05:48.851Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:05:49.733Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:05:50.082Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:05:50.936Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:05:50.936Z] 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. [2026-03-04T22:05:50.936Z] The best model improves the baseline by 14.52%. [2026-03-04T22:05:50.936Z] Top recommended movies for user id 72: [2026-03-04T22:05:50.936Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:05:50.936Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:05:50.936Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:05:50.936Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:05:50.936Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:05:50.936Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (7164.700 ms) ====== [2026-03-04T22:05:50.936Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-04T22:05:50.936Z] GC before operation: completed in 40.705 ms, heap usage 150.070 MB -> 90.257 MB. [2026-03-04T22:05:51.996Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:05:53.484Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:05:54.320Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:05:55.399Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:05:55.827Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:05:56.764Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:05:57.177Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:05:57.723Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:05:58.110Z] 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. [2026-03-04T22:05:58.111Z] The best model improves the baseline by 14.52%. [2026-03-04T22:05:58.111Z] Top recommended movies for user id 72: [2026-03-04T22:05:58.111Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T22:05:58.111Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T22:05:58.111Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T22:05:58.111Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T22:05:58.111Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T22:05:58.111Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (7087.343 ms) ====== [2026-03-04T22:05:58.503Z] ----------------------------------- [2026-03-04T22:05:58.503Z] renaissance-movie-lens_0_PASSED [2026-03-04T22:05:58.503Z] ----------------------------------- [2026-03-04T22:05:58.503Z] [2026-03-04T22:05:58.503Z] TEST TEARDOWN: [2026-03-04T22:05:58.503Z] Nothing to be done for teardown. [2026-03-04T22:05:58.503Z] renaissance-movie-lens_0 Finish Time: Wed Mar 4 17:05:58 2026 Epoch Time (ms): 1772661958096