[2026-04-21T22:58:23.975Z] Running test renaissance-movie-lens_0 ... [2026-04-21T22:58:23.975Z] =============================================== [2026-04-21T22:58:23.975Z] renaissance-movie-lens_0 Start Time: Tue Apr 21 22:58:23 2026 Epoch Time (ms): 1776812303640 [2026-04-21T22:58:23.975Z] variation: NoOptions [2026-04-21T22:58:23.975Z] JVM_OPTIONS: [2026-04-21T22:58:23.975Z] { \ [2026-04-21T22:58:23.975Z] echo ""; echo "TEST SETUP:"; \ [2026-04-21T22:58:23.975Z] echo "Nothing to be done for setup."; \ [2026-04-21T22:58:23.975Z] mkdir -p "/Users/runner/agent/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17768115196129/renaissance-movie-lens_0"; \ [2026-04-21T22:58:23.975Z] cd "/Users/runner/agent/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17768115196129/renaissance-movie-lens_0"; \ [2026-04-21T22:58:23.975Z] echo ""; echo "TESTING:"; \ [2026-04-21T22:58:23.975Z] "/Users/runner/agent/workspace/Test_openjdk17_hs_extended.perf_x86-64_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/runner/agent/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/runner/agent/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17768115196129/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-21T22:58:23.975Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/runner/agent/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/runner/agent/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17768115196129/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-21T22:58:23.975Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-21T22:58:23.975Z] echo "Nothing to be done for teardown."; \ [2026-04-21T22:58:23.975Z] } 2>&1 | tee -a "/Users/runner/agent/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17768115196129/TestTargetResult"; [2026-04-21T22:58:23.975Z] [2026-04-21T22:58:23.975Z] TEST SETUP: [2026-04-21T22:58:23.975Z] Nothing to be done for setup. [2026-04-21T22:58:23.975Z] [2026-04-21T22:58:23.975Z] TESTING: [2026-04-21T22:58:34.858Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-21T22:58:39.880Z] 22:58:38.574 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. [2026-04-21T22:58:40.761Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-21T22:58:41.680Z] Training: 60056, validation: 20285, test: 19854 [2026-04-21T22:58:41.680Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-21T22:58:41.680Z] GC before operation: completed in 74.733 ms, heap usage 220.219 MB -> 75.619 MB. [2026-04-21T22:58:47.925Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:58:51.779Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:58:56.804Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:59:00.659Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:59:02.487Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:59:03.369Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:59:05.177Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:59:07.012Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:59:07.012Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-21T22:59:07.893Z] The best model improves the baseline by 14.52%. [2026-04-21T22:59:07.893Z] Top recommended movies for user id 72: [2026-04-21T22:59:07.893Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:59:07.893Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:59:07.893Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:59:07.893Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:59:07.893Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:59:07.893Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26050.067 ms) ====== [2026-04-21T22:59:07.893Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-21T22:59:07.893Z] GC before operation: completed in 77.730 ms, heap usage 146.680 MB -> 89.838 MB. [2026-04-21T22:59:10.695Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:59:13.508Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:59:16.325Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:59:19.115Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:59:19.992Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:59:21.794Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:59:23.599Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:59:24.483Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:59:25.365Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-21T22:59:25.365Z] The best model improves the baseline by 14.52%. [2026-04-21T22:59:25.365Z] Top recommended movies for user id 72: [2026-04-21T22:59:25.365Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:59:25.365Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:59:25.365Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:59:25.365Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:59:25.365Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:59:25.365Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17446.645 ms) ====== [2026-04-21T22:59:25.365Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-21T22:59:25.365Z] GC before operation: completed in 90.903 ms, heap usage 225.932 MB -> 91.735 MB. [2026-04-21T22:59:28.189Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:59:29.998Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:59:32.788Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:59:35.594Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:59:36.520Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:59:38.330Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:59:39.205Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:59:41.011Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:59:41.011Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-21T22:59:41.011Z] The best model improves the baseline by 14.52%. [2026-04-21T22:59:41.011Z] Top recommended movies for user id 72: [2026-04-21T22:59:41.011Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:59:41.011Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:59:41.011Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:59:41.011Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:59:41.011Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:59:41.011Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15728.131 ms) ====== [2026-04-21T22:59:41.011Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-21T22:59:41.011Z] GC before operation: completed in 82.225 ms, heap usage 370.211 MB -> 89.468 MB. [2026-04-21T22:59:43.810Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:59:46.608Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:59:48.423Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:59:50.235Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:59:52.063Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:59:53.870Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:59:54.766Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:59:55.643Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:59:56.522Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-21T22:59:56.522Z] The best model improves the baseline by 14.52%. [2026-04-21T22:59:56.522Z] Top recommended movies for user id 72: [2026-04-21T22:59:56.522Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:59:56.522Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:59:56.522Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:59:56.522Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:59:56.522Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:59:56.522Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15214.827 ms) ====== [2026-04-21T22:59:56.522Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-21T22:59:56.522Z] GC before operation: completed in 73.010 ms, heap usage 293.164 MB -> 89.663 MB. [2026-04-21T22:59:59.313Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T23:00:01.127Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T23:00:03.939Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T23:00:06.737Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T23:00:07.613Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T23:00:09.422Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T23:00:10.300Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T23:00:12.115Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T23:00:12.115Z] 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. [2026-04-21T23:00:12.116Z] The best model improves the baseline by 14.52%. [2026-04-21T23:00:12.116Z] Top recommended movies for user id 72: [2026-04-21T23:00:12.116Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T23:00:12.116Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T23:00:12.116Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T23:00:12.116Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T23:00:12.116Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T23:00:12.116Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15953.914 ms) ====== [2026-04-21T23:00:12.116Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-21T23:00:12.116Z] GC before operation: completed in 68.766 ms, heap usage 165.912 MB -> 89.671 MB. [2026-04-21T23:00:14.909Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T23:00:16.714Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T23:00:18.527Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T23:00:21.316Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T23:00:22.358Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T23:00:24.175Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T23:00:25.981Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T23:00:26.860Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T23:00:26.860Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-21T23:00:26.860Z] The best model improves the baseline by 14.52%. [2026-04-21T23:00:27.740Z] Top recommended movies for user id 72: [2026-04-21T23:00:27.740Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T23:00:27.740Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T23:00:27.740Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T23:00:27.740Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T23:00:27.740Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T23:00:27.740Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14898.025 ms) ====== [2026-04-21T23:00:27.740Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-21T23:00:27.740Z] GC before operation: completed in 98.082 ms, heap usage 120.953 MB -> 92.317 MB. [2026-04-21T23:00:30.534Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T23:00:32.340Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T23:00:34.175Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T23:00:36.966Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T23:00:37.850Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T23:00:38.730Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T23:00:40.543Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T23:00:41.425Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T23:00:41.425Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-21T23:00:42.310Z] The best model improves the baseline by 14.52%. [2026-04-21T23:00:42.310Z] Top recommended movies for user id 72: [2026-04-21T23:00:42.310Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T23:00:42.310Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T23:00:42.310Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T23:00:42.310Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T23:00:42.310Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T23:00:42.310Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14497.288 ms) ====== [2026-04-21T23:00:42.310Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-21T23:00:42.310Z] GC before operation: completed in 71.582 ms, heap usage 370.349 MB -> 93.435 MB. [2026-04-21T23:00:45.112Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T23:00:46.919Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T23:00:49.706Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T23:00:51.525Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T23:00:52.402Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T23:00:54.223Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T23:00:55.099Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T23:00:56.933Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T23:00:56.933Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-21T23:00:56.933Z] The best model improves the baseline by 14.52%. [2026-04-21T23:00:57.808Z] Top recommended movies for user id 72: [2026-04-21T23:00:57.808Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T23:00:57.808Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T23:00:57.808Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T23:00:57.808Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T23:00:57.808Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T23:00:57.808Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15407.763 ms) ====== [2026-04-21T23:00:57.808Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-21T23:00:57.808Z] GC before operation: completed in 99.112 ms, heap usage 396.536 MB -> 90.236 MB. [2026-04-21T23:00:59.617Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T23:01:02.423Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T23:01:05.303Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T23:01:08.094Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T23:01:09.896Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T23:01:10.771Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T23:01:12.598Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T23:01:13.478Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T23:01:13.478Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-21T23:01:14.373Z] The best model improves the baseline by 14.52%. [2026-04-21T23:01:14.373Z] Top recommended movies for user id 72: [2026-04-21T23:01:14.373Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T23:01:14.373Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T23:01:14.373Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T23:01:14.373Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T23:01:14.373Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T23:01:14.373Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16477.694 ms) ====== [2026-04-21T23:01:14.373Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-21T23:01:14.373Z] GC before operation: completed in 69.016 ms, heap usage 223.919 MB -> 93.234 MB. [2026-04-21T23:01:17.165Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T23:01:19.004Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T23:01:20.817Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T23:01:23.616Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T23:01:24.503Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T23:01:26.308Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T23:01:27.199Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T23:01:28.081Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T23:01:28.081Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-21T23:01:28.081Z] The best model improves the baseline by 14.52%. [2026-04-21T23:01:28.962Z] Top recommended movies for user id 72: [2026-04-21T23:01:28.962Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T23:01:28.962Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T23:01:28.962Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T23:01:28.962Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T23:01:28.962Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T23:01:28.962Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14404.606 ms) ====== [2026-04-21T23:01:28.962Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-21T23:01:28.962Z] GC before operation: completed in 85.849 ms, heap usage 825.249 MB -> 94.255 MB. [2026-04-21T23:01:30.775Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T23:01:33.580Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T23:01:36.397Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T23:01:38.203Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T23:01:40.009Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T23:01:41.818Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T23:01:42.694Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T23:01:44.501Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T23:01:44.501Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-21T23:01:44.501Z] The best model improves the baseline by 14.52%. [2026-04-21T23:01:44.501Z] Top recommended movies for user id 72: [2026-04-21T23:01:44.501Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T23:01:44.501Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T23:01:44.501Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T23:01:44.501Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T23:01:44.501Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T23:01:44.501Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15953.074 ms) ====== [2026-04-21T23:01:44.501Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-21T23:01:44.501Z] GC before operation: completed in 91.499 ms, heap usage 597.397 MB -> 93.509 MB. [2026-04-21T23:01:47.298Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T23:01:50.121Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T23:01:51.925Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T23:01:54.725Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T23:01:55.601Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T23:01:57.404Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T23:01:58.286Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T23:02:00.122Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T23:02:00.122Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-21T23:02:00.122Z] The best model improves the baseline by 14.52%. [2026-04-21T23:02:00.122Z] Top recommended movies for user id 72: [2026-04-21T23:02:00.122Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T23:02:00.122Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T23:02:00.122Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T23:02:00.122Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T23:02:00.122Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T23:02:00.122Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15446.208 ms) ====== [2026-04-21T23:02:00.122Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-21T23:02:00.122Z] GC before operation: completed in 99.806 ms, heap usage 139.088 MB -> 99.305 MB. [2026-04-21T23:02:01.928Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T23:02:04.726Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T23:02:06.534Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T23:02:08.338Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T23:02:10.145Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T23:02:11.022Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T23:02:12.845Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T23:02:13.724Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T23:02:13.724Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-21T23:02:13.724Z] The best model improves the baseline by 14.52%. [2026-04-21T23:02:14.606Z] Top recommended movies for user id 72: [2026-04-21T23:02:14.606Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T23:02:14.606Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T23:02:14.606Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T23:02:14.606Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T23:02:14.606Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T23:02:14.606Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (13961.825 ms) ====== [2026-04-21T23:02:14.606Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-21T23:02:14.606Z] GC before operation: completed in 65.982 ms, heap usage 463.778 MB -> 92.748 MB. [2026-04-21T23:02:16.414Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T23:02:19.210Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T23:02:21.013Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T23:02:23.807Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T23:02:24.704Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T23:02:25.588Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T23:02:27.399Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T23:02:29.206Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T23:02:29.206Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-21T23:02:29.206Z] The best model improves the baseline by 14.52%. [2026-04-21T23:02:29.206Z] Top recommended movies for user id 72: [2026-04-21T23:02:29.206Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T23:02:29.206Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T23:02:29.206Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T23:02:29.206Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T23:02:29.206Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T23:02:29.206Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14896.944 ms) ====== [2026-04-21T23:02:29.206Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-21T23:02:29.206Z] GC before operation: completed in 82.639 ms, heap usage 507.453 MB -> 90.345 MB. [2026-04-21T23:02:31.020Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T23:02:33.819Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T23:02:36.612Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T23:02:39.399Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T23:02:40.251Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T23:02:42.004Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T23:02:42.865Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T23:02:44.627Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T23:02:44.627Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-21T23:02:44.627Z] The best model improves the baseline by 14.52%. [2026-04-21T23:02:44.627Z] Top recommended movies for user id 72: [2026-04-21T23:02:44.627Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T23:02:44.627Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T23:02:44.627Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T23:02:44.627Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T23:02:44.627Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T23:02:44.627Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15709.267 ms) ====== [2026-04-21T23:02:44.627Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-21T23:02:45.479Z] GC before operation: completed in 86.844 ms, heap usage 308.740 MB -> 90.411 MB. [2026-04-21T23:02:47.226Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T23:02:49.944Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T23:02:51.697Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T23:02:53.453Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T23:02:55.215Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T23:02:56.966Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T23:02:57.818Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T23:02:59.571Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T23:02:59.571Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-21T23:02:59.571Z] The best model improves the baseline by 14.52%. [2026-04-21T23:02:59.571Z] Top recommended movies for user id 72: [2026-04-21T23:02:59.571Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T23:02:59.571Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T23:02:59.571Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T23:02:59.571Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T23:02:59.571Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T23:02:59.571Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14405.638 ms) ====== [2026-04-21T23:02:59.571Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-21T23:02:59.571Z] GC before operation: completed in 79.632 ms, heap usage 688.506 MB -> 93.870 MB. [2026-04-21T23:03:02.302Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T23:03:04.070Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T23:03:05.831Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T23:03:08.553Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T23:03:10.310Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T23:03:11.163Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T23:03:12.015Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T23:03:13.771Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T23:03:13.771Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-21T23:03:13.771Z] The best model improves the baseline by 14.52%. [2026-04-21T23:03:13.771Z] Top recommended movies for user id 72: [2026-04-21T23:03:13.771Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T23:03:13.771Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T23:03:13.771Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T23:03:13.771Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T23:03:13.771Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T23:03:13.771Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14173.477 ms) ====== [2026-04-21T23:03:13.771Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-21T23:03:13.771Z] GC before operation: completed in 71.320 ms, heap usage 289.326 MB -> 90.086 MB. [2026-04-21T23:03:15.531Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T23:03:18.248Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T23:03:20.024Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T23:03:22.735Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T23:03:23.585Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T23:03:25.337Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T23:03:26.188Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T23:03:27.043Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T23:03:27.893Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-21T23:03:27.893Z] The best model improves the baseline by 14.52%. [2026-04-21T23:03:27.893Z] Top recommended movies for user id 72: [2026-04-21T23:03:27.893Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T23:03:27.893Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T23:03:27.893Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T23:03:27.893Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T23:03:27.893Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T23:03:27.893Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13922.311 ms) ====== [2026-04-21T23:03:27.893Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-21T23:03:27.893Z] GC before operation: completed in 83.315 ms, heap usage 262.807 MB -> 89.959 MB. [2026-04-21T23:03:29.656Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T23:03:32.369Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T23:03:35.079Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T23:03:37.787Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T23:03:39.548Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T23:03:40.398Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T23:03:42.160Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T23:03:43.012Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T23:03:43.897Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-21T23:03:43.897Z] The best model improves the baseline by 14.52%. [2026-04-21T23:03:43.897Z] Top recommended movies for user id 72: [2026-04-21T23:03:43.897Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T23:03:43.897Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T23:03:43.897Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T23:03:43.897Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T23:03:43.897Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T23:03:43.897Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15747.971 ms) ====== [2026-04-21T23:03:43.897Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-21T23:03:43.897Z] GC before operation: completed in 77.958 ms, heap usage 526.988 MB -> 90.385 MB. [2026-04-21T23:03:46.615Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T23:03:48.370Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T23:03:50.126Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T23:03:51.888Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T23:03:53.685Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T23:03:54.538Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T23:03:56.301Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T23:03:58.052Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T23:03:58.052Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-21T23:03:58.052Z] The best model improves the baseline by 14.52%. [2026-04-21T23:03:58.052Z] Top recommended movies for user id 72: [2026-04-21T23:03:58.052Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T23:03:58.052Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T23:03:58.052Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T23:03:58.052Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T23:03:58.052Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T23:03:58.052Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14352.893 ms) ====== [2026-04-21T23:03:58.908Z] ----------------------------------- [2026-04-21T23:03:58.908Z] renaissance-movie-lens_0_PASSED [2026-04-21T23:03:58.908Z] ----------------------------------- [2026-04-21T23:03:58.908Z] [2026-04-21T23:03:58.908Z] TEST TEARDOWN: [2026-04-21T23:03:58.908Z] Nothing to be done for teardown. [2026-04-21T23:03:58.908Z] renaissance-movie-lens_0 Finish Time: Tue Apr 21 23:03:57 2026 Epoch Time (ms): 1776812637889