[2026-03-01T22:04:42.786Z] Running test renaissance-movie-lens_0 ... [2026-03-01T22:04:42.786Z] =============================================== [2026-03-01T22:04:42.786Z] renaissance-movie-lens_0 Start Time: Sun Mar 1 17:04:42 2026 Epoch Time (ms): 1772402682350 [2026-03-01T22:04:42.786Z] variation: NoOptions [2026-03-01T22:04:42.786Z] JVM_OPTIONS: [2026-03-01T22:04:42.786Z] { \ [2026-03-01T22:04:42.786Z] echo ""; echo "TEST SETUP:"; \ [2026-03-01T22:04:42.786Z] echo "Nothing to be done for setup."; \ [2026-03-01T22:04:42.786Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17724021452292/renaissance-movie-lens_0"; \ [2026-03-01T22:04:42.786Z] cd "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17724021452292/renaissance-movie-lens_0"; \ [2026-03-01T22:04:42.786Z] echo ""; echo "TESTING:"; \ [2026-03-01T22:04:42.786Z] "/Users/admin/workspace/workspace/Test_openjdk11_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_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17724021452292/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-01T22:04:42.786Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17724021452292/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-01T22:04:42.786Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-01T22:04:42.786Z] echo "Nothing to be done for teardown."; \ [2026-03-01T22:04:42.786Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17724021452292/TestTargetResult"; [2026-03-01T22:04:42.786Z] [2026-03-01T22:04:42.786Z] TEST SETUP: [2026-03-01T22:04:42.786Z] Nothing to be done for setup. [2026-03-01T22:04:42.786Z] [2026-03-01T22:04:42.786Z] TESTING: [2026-03-01T22:04:47.744Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-01T22:04:53.875Z] 17:04:52.760 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-03-01T22:04:54.633Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-01T22:04:55.004Z] Training: 60056, validation: 20285, test: 19854 [2026-03-01T22:04:55.004Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-01T22:04:55.004Z] GC before operation: completed in 93.738 ms, heap usage 303.339 MB -> 74.647 MB. [2026-03-01T22:04:59.006Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:05:02.137Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:05:04.610Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:05:06.995Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:05:08.223Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:05:09.456Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:05:11.254Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:05:12.523Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:05:12.523Z] 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. [2026-03-01T22:05:12.881Z] The best model improves the baseline by 14.52%. [2026-03-01T22:05:12.881Z] Top recommended movies for user id 72: [2026-03-01T22:05:12.881Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:05:12.881Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:05:12.881Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:05:12.881Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:05:12.881Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:05:12.881Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (17910.802 ms) ====== [2026-03-01T22:05:12.881Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-01T22:05:12.881Z] GC before operation: completed in 114.688 ms, heap usage 367.448 MB -> 87.053 MB. [2026-03-01T22:05:15.283Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:05:17.675Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:05:19.446Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:05:21.839Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:05:23.074Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:05:24.299Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:05:25.516Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:05:26.740Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:05:27.115Z] 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. [2026-03-01T22:05:27.115Z] The best model improves the baseline by 14.52%. [2026-03-01T22:05:27.115Z] Top recommended movies for user id 72: [2026-03-01T22:05:27.115Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:05:27.115Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:05:27.115Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:05:27.115Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:05:27.115Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:05:27.115Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (14172.486 ms) ====== [2026-03-01T22:05:27.115Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-01T22:05:27.115Z] GC before operation: completed in 96.070 ms, heap usage 121.983 MB -> 87.549 MB. [2026-03-01T22:05:29.574Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:05:31.323Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:05:33.101Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:05:35.466Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:05:36.681Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:05:37.919Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:05:39.142Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:05:39.902Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:05:40.260Z] 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. [2026-03-01T22:05:40.260Z] The best model improves the baseline by 14.52%. [2026-03-01T22:05:40.260Z] Top recommended movies for user id 72: [2026-03-01T22:05:40.260Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:05:40.260Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:05:40.261Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:05:40.261Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:05:40.261Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:05:40.261Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (13143.639 ms) ====== [2026-03-01T22:05:40.261Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-01T22:05:40.619Z] GC before operation: completed in 86.823 ms, heap usage 438.261 MB -> 88.561 MB. [2026-03-01T22:05:43.051Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:05:45.467Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:05:47.334Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:05:49.753Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:05:50.512Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:05:51.274Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:05:52.496Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:05:53.251Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:05:53.603Z] 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. [2026-03-01T22:05:53.603Z] The best model improves the baseline by 14.52%. [2026-03-01T22:05:53.603Z] Top recommended movies for user id 72: [2026-03-01T22:05:53.603Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:05:53.603Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:05:53.603Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:05:53.603Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:05:53.603Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:05:53.604Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (13172.711 ms) ====== [2026-03-01T22:05:53.604Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-01T22:05:53.604Z] GC before operation: completed in 78.239 ms, heap usage 146.950 MB -> 88.527 MB. [2026-03-01T22:05:55.995Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:05:57.223Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:05:58.981Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:06:00.775Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:06:01.600Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:06:02.841Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:06:04.064Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:06:05.304Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:06:05.304Z] 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. [2026-03-01T22:06:05.304Z] The best model improves the baseline by 14.52%. [2026-03-01T22:06:05.304Z] Top recommended movies for user id 72: [2026-03-01T22:06:05.304Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:06:05.304Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:06:05.304Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:06:05.304Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:06:05.304Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:06:05.304Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (11535.337 ms) ====== [2026-03-01T22:06:05.304Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-01T22:06:05.304Z] GC before operation: completed in 65.885 ms, heap usage 433.892 MB -> 88.833 MB. [2026-03-01T22:06:07.052Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:06:08.810Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:06:10.051Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:06:11.806Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:06:13.045Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:06:14.286Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:06:15.044Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:06:16.264Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:06:16.264Z] 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. [2026-03-01T22:06:16.264Z] The best model improves the baseline by 14.52%. [2026-03-01T22:06:16.264Z] Top recommended movies for user id 72: [2026-03-01T22:06:16.264Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:06:16.264Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:06:16.264Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:06:16.264Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:06:16.264Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:06:16.264Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (11041.312 ms) ====== [2026-03-01T22:06:16.264Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-01T22:06:16.612Z] GC before operation: completed in 68.351 ms, heap usage 274.266 MB -> 89.034 MB. [2026-03-01T22:06:17.834Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:06:19.588Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:06:20.835Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:06:22.585Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:06:23.338Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:06:24.111Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:06:25.321Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:06:26.078Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:06:26.078Z] 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. [2026-03-01T22:06:26.078Z] The best model improves the baseline by 14.52%. [2026-03-01T22:06:26.078Z] Top recommended movies for user id 72: [2026-03-01T22:06:26.078Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:06:26.078Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:06:26.078Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:06:26.078Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:06:26.078Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:06:26.078Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (9738.068 ms) ====== [2026-03-01T22:06:26.078Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-01T22:06:26.428Z] GC before operation: completed in 90.300 ms, heap usage 441.666 MB -> 89.132 MB. [2026-03-01T22:06:28.223Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:06:30.058Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:06:31.819Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:06:33.554Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:06:34.784Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:06:35.528Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:06:36.764Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:06:37.523Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:06:37.523Z] 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. [2026-03-01T22:06:37.523Z] The best model improves the baseline by 14.52%. [2026-03-01T22:06:37.523Z] Top recommended movies for user id 72: [2026-03-01T22:06:37.523Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:06:37.523Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:06:37.523Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:06:37.523Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:06:37.523Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:06:37.523Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (11384.678 ms) ====== [2026-03-01T22:06:37.523Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-01T22:06:37.874Z] GC before operation: completed in 62.884 ms, heap usage 200.670 MB -> 88.994 MB. [2026-03-01T22:06:39.092Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:06:40.852Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:06:42.063Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:06:43.823Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:06:45.042Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:06:45.797Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:06:47.007Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:06:47.780Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:06:48.146Z] 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. [2026-03-01T22:06:48.146Z] The best model improves the baseline by 14.52%. [2026-03-01T22:06:48.146Z] Top recommended movies for user id 72: [2026-03-01T22:06:48.146Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:06:48.146Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:06:48.146Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:06:48.146Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:06:48.146Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:06:48.146Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (10342.135 ms) ====== [2026-03-01T22:06:48.146Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-01T22:06:48.146Z] GC before operation: completed in 62.828 ms, heap usage 195.843 MB -> 88.857 MB. [2026-03-01T22:06:49.909Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:06:51.661Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:06:52.879Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:06:54.633Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:06:55.391Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:06:56.627Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:06:57.391Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:06:58.599Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:06:58.599Z] 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. [2026-03-01T22:06:58.599Z] The best model improves the baseline by 14.52%. [2026-03-01T22:06:58.599Z] Top recommended movies for user id 72: [2026-03-01T22:06:58.599Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:06:58.599Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:06:58.599Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:06:58.599Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:06:58.599Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:06:58.599Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (10437.652 ms) ====== [2026-03-01T22:06:58.599Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-01T22:06:58.599Z] GC before operation: completed in 58.206 ms, heap usage 207.358 MB -> 89.063 MB. [2026-03-01T22:07:00.360Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:07:01.588Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:07:03.374Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:07:05.123Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:07:05.888Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:07:07.120Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:07:08.341Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:07:09.123Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:07:09.123Z] 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. [2026-03-01T22:07:09.123Z] The best model improves the baseline by 14.52%. [2026-03-01T22:07:09.123Z] Top recommended movies for user id 72: [2026-03-01T22:07:09.124Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:07:09.124Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:07:09.124Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:07:09.124Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:07:09.124Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:07:09.124Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (10524.821 ms) ====== [2026-03-01T22:07:09.124Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-01T22:07:09.124Z] GC before operation: completed in 61.784 ms, heap usage 432.057 MB -> 89.053 MB. [2026-03-01T22:07:10.881Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:07:12.620Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:07:14.373Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:07:15.588Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:07:16.795Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:07:17.555Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:07:18.341Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:07:19.100Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:07:19.452Z] 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. [2026-03-01T22:07:19.452Z] The best model improves the baseline by 14.52%. [2026-03-01T22:07:19.452Z] Top recommended movies for user id 72: [2026-03-01T22:07:19.452Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:07:19.452Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:07:19.452Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:07:19.452Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:07:19.452Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:07:19.452Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (10206.634 ms) ====== [2026-03-01T22:07:19.452Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-01T22:07:19.452Z] GC before operation: completed in 55.680 ms, heap usage 184.138 MB -> 89.022 MB. [2026-03-01T22:07:21.187Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:07:22.402Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:07:24.151Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:07:25.414Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:07:26.620Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:07:27.365Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:07:28.176Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:07:28.949Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:07:28.949Z] 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. [2026-03-01T22:07:28.949Z] The best model improves the baseline by 14.52%. [2026-03-01T22:07:29.297Z] Top recommended movies for user id 72: [2026-03-01T22:07:29.297Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:07:29.297Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:07:29.297Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:07:29.297Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:07:29.297Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:07:29.297Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (9707.018 ms) ====== [2026-03-01T22:07:29.297Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-01T22:07:29.297Z] GC before operation: completed in 65.587 ms, heap usage 142.926 MB -> 89.030 MB. [2026-03-01T22:07:31.040Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:07:32.806Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:07:34.533Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:07:36.301Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:07:37.527Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:07:38.280Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:07:39.490Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:07:40.246Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:07:40.593Z] 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. [2026-03-01T22:07:40.593Z] The best model improves the baseline by 14.52%. [2026-03-01T22:07:40.593Z] Top recommended movies for user id 72: [2026-03-01T22:07:40.593Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:07:40.593Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:07:40.593Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:07:40.593Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:07:40.593Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:07:40.593Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (11323.609 ms) ====== [2026-03-01T22:07:40.593Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-01T22:07:40.593Z] GC before operation: completed in 60.394 ms, heap usage 232.104 MB -> 88.965 MB. [2026-03-01T22:07:42.340Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:07:44.081Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:07:45.822Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:07:47.623Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:07:49.372Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:07:50.624Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:07:51.853Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:07:53.145Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:07:53.145Z] 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. [2026-03-01T22:07:53.145Z] The best model improves the baseline by 14.52%. [2026-03-01T22:07:53.145Z] Top recommended movies for user id 72: [2026-03-01T22:07:53.145Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:07:53.145Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:07:53.145Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:07:53.145Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:07:53.145Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:07:53.145Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (12586.435 ms) ====== [2026-03-01T22:07:53.145Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-01T22:07:53.492Z] GC before operation: completed in 89.526 ms, heap usage 401.570 MB -> 89.456 MB. [2026-03-01T22:07:55.256Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:07:57.633Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:07:58.859Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:08:00.625Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:08:01.873Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:08:03.138Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:08:03.900Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:08:05.116Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:08:05.116Z] 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. [2026-03-01T22:08:05.116Z] The best model improves the baseline by 14.52%. [2026-03-01T22:08:05.473Z] Top recommended movies for user id 72: [2026-03-01T22:08:05.473Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:08:05.473Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:08:05.473Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:08:05.473Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:08:05.473Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:08:05.473Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (11999.543 ms) ====== [2026-03-01T22:08:05.473Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-01T22:08:05.473Z] GC before operation: completed in 77.898 ms, heap usage 313.849 MB -> 89.239 MB. [2026-03-01T22:08:07.208Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:08:08.964Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:08:10.710Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:08:13.085Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:08:14.314Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:08:15.562Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:08:16.807Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:08:18.597Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:08:18.597Z] 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. [2026-03-01T22:08:18.597Z] The best model improves the baseline by 14.52%. [2026-03-01T22:08:18.597Z] Top recommended movies for user id 72: [2026-03-01T22:08:18.597Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:08:18.597Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:08:18.597Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:08:18.597Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:08:18.597Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:08:18.597Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13140.423 ms) ====== [2026-03-01T22:08:18.597Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-01T22:08:18.597Z] GC before operation: completed in 79.546 ms, heap usage 169.148 MB -> 89.074 MB. [2026-03-01T22:08:20.995Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:08:23.394Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:08:25.172Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:08:27.550Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:08:28.785Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:08:30.657Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:08:31.939Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:08:33.187Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:08:33.187Z] 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. [2026-03-01T22:08:33.187Z] The best model improves the baseline by 14.52%. [2026-03-01T22:08:33.556Z] Top recommended movies for user id 72: [2026-03-01T22:08:33.556Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:08:33.556Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:08:33.556Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:08:33.556Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:08:33.556Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:08:33.556Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14785.240 ms) ====== [2026-03-01T22:08:33.556Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-01T22:08:33.556Z] GC before operation: completed in 90.480 ms, heap usage 267.549 MB -> 89.066 MB. [2026-03-01T22:08:35.938Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:08:38.350Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:08:40.107Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:08:42.524Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:08:43.772Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:08:45.012Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:08:46.243Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:08:48.040Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:08:48.041Z] 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. [2026-03-01T22:08:48.041Z] The best model improves the baseline by 14.52%. [2026-03-01T22:08:48.041Z] Top recommended movies for user id 72: [2026-03-01T22:08:48.041Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:08:48.041Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:08:48.041Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:08:48.041Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:08:48.041Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:08:48.041Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14448.137 ms) ====== [2026-03-01T22:08:48.041Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-01T22:08:48.041Z] GC before operation: completed in 86.871 ms, heap usage 328.878 MB -> 89.172 MB. [2026-03-01T22:08:50.417Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T22:08:52.805Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T22:08:55.196Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T22:08:56.946Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T22:08:58.707Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T22:08:59.933Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T22:09:01.717Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T22:09:02.955Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T22:09:02.955Z] 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. [2026-03-01T22:09:02.955Z] The best model improves the baseline by 14.52%. [2026-03-01T22:09:02.955Z] Top recommended movies for user id 72: [2026-03-01T22:09:02.955Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T22:09:02.955Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T22:09:02.955Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T22:09:02.955Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T22:09:02.955Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T22:09:02.955Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14909.650 ms) ====== [2026-03-01T22:09:03.712Z] ----------------------------------- [2026-03-01T22:09:03.712Z] renaissance-movie-lens_0_PASSED [2026-03-01T22:09:03.712Z] ----------------------------------- [2026-03-01T22:09:03.712Z] [2026-03-01T22:09:03.712Z] TEST TEARDOWN: [2026-03-01T22:09:03.712Z] Nothing to be done for teardown. [2026-03-01T22:09:03.712Z] renaissance-movie-lens_0 Finish Time: Sun Mar 1 17:09:03 2026 Epoch Time (ms): 1772402943386