[2026-04-25T14:07:42.149Z] Running test renaissance-movie-lens_0 ... [2026-04-25T14:07:42.149Z] =============================================== [2026-04-25T14:07:42.149Z] renaissance-movie-lens_0 Start Time: Sat Apr 25 14:07:41 2026 Epoch Time (ms): 1777126061193 [2026-04-25T14:07:42.149Z] variation: NoOptions [2026-04-25T14:07:42.149Z] JVM_OPTIONS: [2026-04-25T14:07:42.149Z] { \ [2026-04-25T14:07:42.149Z] echo ""; echo "TEST SETUP:"; \ [2026-04-25T14:07:42.149Z] echo "Nothing to be done for setup."; \ [2026-04-25T14:07:42.149Z] mkdir -p "/Users/runner/agent/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17771249754923/renaissance-movie-lens_0"; \ [2026-04-25T14:07:42.149Z] cd "/Users/runner/agent/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17771249754923/renaissance-movie-lens_0"; \ [2026-04-25T14:07:42.149Z] echo ""; echo "TESTING:"; \ [2026-04-25T14:07:42.149Z] "/Users/runner/agent/workspace/Test_openjdk11_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_openjdk11_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/runner/agent/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17771249754923/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-25T14:07:42.149Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/runner/agent/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/runner/agent/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17771249754923/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-25T14:07:42.149Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-25T14:07:42.149Z] echo "Nothing to be done for teardown."; \ [2026-04-25T14:07:42.149Z] } 2>&1 | tee -a "/Users/runner/agent/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17771249754923/TestTargetResult"; [2026-04-25T14:07:42.149Z] [2026-04-25T14:07:42.149Z] TEST SETUP: [2026-04-25T14:07:42.149Z] Nothing to be done for setup. [2026-04-25T14:07:42.149Z] [2026-04-25T14:07:42.149Z] TESTING: [2026-04-25T14:07:55.085Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-25T14:08:02.900Z] 14:08:01.561 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-04-25T14:08:05.731Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-25T14:08:06.622Z] Training: 60056, validation: 20285, test: 19854 [2026-04-25T14:08:06.622Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-25T14:08:06.622Z] GC before operation: completed in 191.412 ms, heap usage 245.453 MB -> 74.472 MB. [2026-04-25T14:08:15.935Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:08:23.787Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:08:27.697Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:08:32.768Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:08:35.610Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:08:38.573Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:08:41.429Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:08:43.287Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:08:44.178Z] 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. [2026-04-25T14:08:44.178Z] The best model improves the baseline by 14.52%. [2026-04-25T14:08:44.178Z] Top recommended movies for user id 72: [2026-04-25T14:08:44.178Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:08:44.178Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:08:44.178Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:08:44.178Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:08:44.178Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:08:44.178Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (37704.843 ms) ====== [2026-04-25T14:08:44.178Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-25T14:08:44.178Z] GC before operation: completed in 134.904 ms, heap usage 481.813 MB -> 85.785 MB. [2026-04-25T14:08:48.085Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:08:53.236Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:08:57.163Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:09:01.086Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:09:03.921Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:09:05.753Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:09:08.596Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:09:10.426Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:09:11.317Z] 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. [2026-04-25T14:09:11.317Z] The best model improves the baseline by 14.52%. [2026-04-25T14:09:11.317Z] Top recommended movies for user id 72: [2026-04-25T14:09:11.317Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:09:11.317Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:09:11.317Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:09:11.317Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:09:11.317Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:09:11.317Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (26828.959 ms) ====== [2026-04-25T14:09:11.317Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-25T14:09:11.317Z] GC before operation: completed in 147.639 ms, heap usage 315.000 MB -> 87.639 MB. [2026-04-25T14:09:15.251Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:09:19.225Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:09:23.261Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:09:27.261Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:09:29.132Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:09:32.025Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:09:33.896Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:09:36.982Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:09:36.982Z] 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. [2026-04-25T14:09:36.982Z] The best model improves the baseline by 14.52%. [2026-04-25T14:09:36.982Z] Top recommended movies for user id 72: [2026-04-25T14:09:36.982Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:09:36.982Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:09:36.982Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:09:36.982Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:09:36.982Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:09:36.982Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (26029.313 ms) ====== [2026-04-25T14:09:36.982Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-25T14:09:37.902Z] GC before operation: completed in 152.251 ms, heap usage 380.283 MB -> 88.353 MB. [2026-04-25T14:09:40.799Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:09:45.979Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:09:49.978Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:09:53.966Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:09:55.862Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:09:57.734Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:10:00.631Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:10:02.503Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:10:03.414Z] 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. [2026-04-25T14:10:03.414Z] The best model improves the baseline by 14.52%. [2026-04-25T14:10:03.414Z] Top recommended movies for user id 72: [2026-04-25T14:10:03.414Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:10:03.415Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:10:03.415Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:10:03.415Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:10:03.415Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:10:03.415Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (25796.166 ms) ====== [2026-04-25T14:10:03.415Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-25T14:10:03.415Z] GC before operation: completed in 144.059 ms, heap usage 339.096 MB -> 88.574 MB. [2026-04-25T14:10:07.552Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:10:10.475Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:10:14.468Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:10:18.497Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:10:20.379Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:10:23.290Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:10:26.184Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:10:28.063Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:10:28.063Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-25T14:10:28.063Z] The best model improves the baseline by 14.52%. [2026-04-25T14:10:28.063Z] Top recommended movies for user id 72: [2026-04-25T14:10:28.063Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:10:28.064Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:10:28.064Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:10:28.064Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:10:28.064Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:10:28.064Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (24797.511 ms) ====== [2026-04-25T14:10:28.064Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-25T14:10:28.064Z] GC before operation: completed in 168.511 ms, heap usage 749.715 MB -> 92.285 MB. [2026-04-25T14:10:32.084Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:10:36.078Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:10:40.065Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:10:42.954Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:10:45.852Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:10:48.760Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:10:50.637Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:10:51.548Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:10:52.460Z] 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. [2026-04-25T14:10:52.460Z] The best model improves the baseline by 14.52%. [2026-04-25T14:10:52.460Z] Top recommended movies for user id 72: [2026-04-25T14:10:52.460Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:10:52.460Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:10:52.460Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:10:52.460Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:10:52.460Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:10:52.460Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (23976.981 ms) ====== [2026-04-25T14:10:52.460Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-25T14:10:52.460Z] GC before operation: completed in 141.722 ms, heap usage 330.619 MB -> 88.838 MB. [2026-04-25T14:10:56.485Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:10:59.418Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:11:03.418Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:11:07.081Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:11:07.081Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:11:08.972Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:11:10.881Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:11:13.792Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:11:13.792Z] 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. [2026-04-25T14:11:13.792Z] The best model improves the baseline by 14.52%. [2026-04-25T14:11:13.792Z] Top recommended movies for user id 72: [2026-04-25T14:11:13.792Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:11:13.792Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:11:13.792Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:11:13.792Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:11:13.792Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:11:13.792Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (21309.428 ms) ====== [2026-04-25T14:11:13.792Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-25T14:11:13.792Z] GC before operation: completed in 136.571 ms, heap usage 545.045 MB -> 92.331 MB. [2026-04-25T14:11:16.706Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:11:20.698Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:11:23.610Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:11:26.516Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:11:28.403Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:11:30.284Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:11:32.169Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:11:34.041Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:11:34.952Z] 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. [2026-04-25T14:11:34.952Z] The best model improves the baseline by 14.52%. [2026-04-25T14:11:34.952Z] Top recommended movies for user id 72: [2026-04-25T14:11:34.952Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:11:34.952Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:11:34.952Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:11:34.952Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:11:34.952Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:11:34.952Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20757.886 ms) ====== [2026-04-25T14:11:34.952Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-25T14:11:34.952Z] GC before operation: completed in 145.011 ms, heap usage 348.154 MB -> 89.504 MB. [2026-04-25T14:11:38.992Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:11:41.900Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:11:45.909Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:11:49.896Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:11:51.809Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:11:54.711Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:11:56.648Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:11:58.548Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:11:58.548Z] 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. [2026-04-25T14:11:58.548Z] The best model improves the baseline by 14.52%. [2026-04-25T14:11:58.548Z] Top recommended movies for user id 72: [2026-04-25T14:11:58.548Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:11:58.548Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:11:58.548Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:11:58.548Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:11:58.548Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:11:58.548Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (23867.812 ms) ====== [2026-04-25T14:11:58.548Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-25T14:11:58.548Z] GC before operation: completed in 150.736 ms, heap usage 334.571 MB -> 88.843 MB. [2026-04-25T14:12:02.539Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:12:06.530Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:12:10.531Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:12:14.539Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:12:16.427Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:12:18.300Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:12:21.193Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:12:23.075Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:12:23.075Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-25T14:12:23.075Z] The best model improves the baseline by 14.52%. [2026-04-25T14:12:23.075Z] Top recommended movies for user id 72: [2026-04-25T14:12:23.075Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:12:23.075Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:12:23.075Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:12:23.075Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:12:23.075Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:12:23.075Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (24196.091 ms) ====== [2026-04-25T14:12:23.075Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-25T14:12:23.075Z] GC before operation: completed in 139.118 ms, heap usage 535.905 MB -> 89.378 MB. [2026-04-25T14:12:27.060Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:12:29.956Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:12:34.012Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:12:36.910Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:12:39.820Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:12:41.725Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:12:43.620Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:12:45.493Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:12:45.493Z] 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. [2026-04-25T14:12:45.493Z] The best model improves the baseline by 14.52%. [2026-04-25T14:12:45.493Z] Top recommended movies for user id 72: [2026-04-25T14:12:45.493Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:12:45.493Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:12:45.493Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:12:45.493Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:12:45.493Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:12:45.493Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (22557.662 ms) ====== [2026-04-25T14:12:45.493Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-25T14:12:45.493Z] GC before operation: completed in 142.738 ms, heap usage 430.522 MB -> 88.847 MB. [2026-04-25T14:12:49.539Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:12:53.550Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:12:56.472Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:12:59.382Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:13:02.281Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:13:04.157Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:13:06.031Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:13:07.904Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:13:08.818Z] 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. [2026-04-25T14:13:08.818Z] The best model improves the baseline by 14.52%. [2026-04-25T14:13:08.818Z] Top recommended movies for user id 72: [2026-04-25T14:13:08.818Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:13:08.818Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:13:08.818Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:13:08.818Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:13:08.818Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:13:08.818Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (22702.308 ms) ====== [2026-04-25T14:13:08.818Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-25T14:13:08.818Z] GC before operation: completed in 132.405 ms, heap usage 428.854 MB -> 89.084 MB. [2026-04-25T14:13:12.835Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:13:16.851Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:13:19.762Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:13:23.754Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:13:25.630Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:13:28.522Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:13:30.408Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:13:32.295Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:13:32.295Z] 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. [2026-04-25T14:13:32.295Z] The best model improves the baseline by 14.52%. [2026-04-25T14:13:32.295Z] Top recommended movies for user id 72: [2026-04-25T14:13:32.295Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:13:32.295Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:13:32.295Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:13:32.295Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:13:32.295Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:13:32.295Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (23788.811 ms) ====== [2026-04-25T14:13:32.295Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-25T14:13:32.295Z] GC before operation: completed in 149.098 ms, heap usage 334.640 MB -> 89.114 MB. [2026-04-25T14:13:36.303Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:13:40.294Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:13:44.294Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:13:47.203Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:13:49.081Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:13:51.996Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:13:53.871Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:13:55.761Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:13:55.761Z] 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. [2026-04-25T14:13:55.761Z] The best model improves the baseline by 14.52%. [2026-04-25T14:13:56.682Z] Top recommended movies for user id 72: [2026-04-25T14:13:56.682Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:13:56.682Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:13:56.682Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:13:56.682Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:13:56.682Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:13:56.682Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (23619.167 ms) ====== [2026-04-25T14:13:56.682Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-25T14:13:56.682Z] GC before operation: completed in 148.785 ms, heap usage 329.356 MB -> 88.898 MB. [2026-04-25T14:14:00.689Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:14:04.691Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:14:07.615Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:14:11.611Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:14:13.485Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:14:15.370Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:14:17.242Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:14:20.170Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:14:20.170Z] 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. [2026-04-25T14:14:20.170Z] The best model improves the baseline by 14.52%. [2026-04-25T14:14:20.170Z] Top recommended movies for user id 72: [2026-04-25T14:14:20.170Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:14:20.170Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:14:20.170Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:14:20.170Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:14:20.170Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:14:20.170Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (23874.032 ms) ====== [2026-04-25T14:14:20.170Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-25T14:14:20.170Z] GC before operation: completed in 155.634 ms, heap usage 536.272 MB -> 89.453 MB. [2026-04-25T14:14:24.174Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:14:27.076Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:14:32.248Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:14:35.150Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:14:37.192Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:14:39.067Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:14:41.960Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:14:43.851Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:14:43.851Z] 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. [2026-04-25T14:14:43.851Z] The best model improves the baseline by 14.52%. [2026-04-25T14:14:43.851Z] Top recommended movies for user id 72: [2026-04-25T14:14:43.851Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:14:43.851Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:14:43.851Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:14:43.851Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:14:43.851Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:14:43.851Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (23763.377 ms) ====== [2026-04-25T14:14:43.851Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-25T14:14:44.762Z] GC before operation: completed in 136.773 ms, heap usage 342.708 MB -> 89.014 MB. [2026-04-25T14:14:47.655Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:14:51.666Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:14:55.671Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:14:58.579Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:15:01.469Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:15:03.339Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:15:05.211Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:15:08.135Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:15:08.135Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-25T14:15:08.135Z] The best model improves the baseline by 14.52%. [2026-04-25T14:15:08.135Z] Top recommended movies for user id 72: [2026-04-25T14:15:08.135Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:15:08.135Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:15:08.135Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:15:08.135Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:15:08.135Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:15:08.135Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (23814.332 ms) ====== [2026-04-25T14:15:08.135Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-25T14:15:08.135Z] GC before operation: completed in 127.608 ms, heap usage 348.595 MB -> 89.078 MB. [2026-04-25T14:15:12.162Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:15:15.057Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:15:19.081Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:15:23.084Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:15:24.956Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:15:26.834Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:15:28.708Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:15:31.626Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:15:31.626Z] 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. [2026-04-25T14:15:31.626Z] The best model improves the baseline by 14.52%. [2026-04-25T14:15:31.626Z] Top recommended movies for user id 72: [2026-04-25T14:15:31.626Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:15:31.626Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:15:31.626Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:15:31.626Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:15:31.626Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:15:31.626Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23335.915 ms) ====== [2026-04-25T14:15:31.626Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-25T14:15:31.626Z] GC before operation: completed in 130.104 ms, heap usage 501.696 MB -> 89.196 MB. [2026-04-25T14:15:35.637Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:15:38.541Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:15:43.728Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:15:46.621Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:15:48.494Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:15:50.389Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:15:52.273Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:15:55.188Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:15:55.188Z] 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. [2026-04-25T14:15:55.188Z] The best model improves the baseline by 14.52%. [2026-04-25T14:15:55.188Z] Top recommended movies for user id 72: [2026-04-25T14:15:55.188Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:15:55.188Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:15:55.188Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:15:55.188Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:15:55.188Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:15:55.188Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (23569.257 ms) ====== [2026-04-25T14:15:55.188Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-25T14:15:55.188Z] GC before operation: completed in 130.673 ms, heap usage 459.616 MB -> 89.197 MB. [2026-04-25T14:15:59.175Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T14:16:02.075Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T14:16:06.095Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T14:16:10.136Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T14:16:11.049Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T14:16:12.920Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T14:16:14.802Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T14:16:17.703Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T14:16:17.703Z] 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. [2026-04-25T14:16:17.703Z] The best model improves the baseline by 14.52%. [2026-04-25T14:16:17.703Z] Top recommended movies for user id 72: [2026-04-25T14:16:17.703Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-25T14:16:17.703Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-25T14:16:17.703Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-25T14:16:17.703Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-25T14:16:17.703Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-25T14:16:17.703Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (22629.498 ms) ====== [2026-04-25T14:16:18.615Z] ----------------------------------- [2026-04-25T14:16:18.616Z] renaissance-movie-lens_0_PASSED [2026-04-25T14:16:18.616Z] ----------------------------------- [2026-04-25T14:16:18.616Z] [2026-04-25T14:16:18.616Z] TEST TEARDOWN: [2026-04-25T14:16:18.616Z] Nothing to be done for teardown. [2026-04-25T14:16:18.616Z] renaissance-movie-lens_0 Finish Time: Sat Apr 25 14:16:18 2026 Epoch Time (ms): 1777126578140