[2026-04-22T14:57:05.273Z] Running test renaissance-movie-lens_0 ... [2026-04-22T14:57:05.273Z] =============================================== [2026-04-22T14:57:05.273Z] renaissance-movie-lens_0 Start Time: Wed Apr 22 14:57:04 2026 Epoch Time (ms): 1776869824464 [2026-04-22T14:57:05.273Z] variation: NoOptions [2026-04-22T14:57:05.273Z] JVM_OPTIONS: [2026-04-22T14:57:05.273Z] { \ [2026-04-22T14:57:05.273Z] echo ""; echo "TEST SETUP:"; \ [2026-04-22T14:57:05.273Z] echo "Nothing to be done for setup."; \ [2026-04-22T14:57:05.273Z] mkdir -p "/Users/runner/agent/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17768687131744/renaissance-movie-lens_0"; \ [2026-04-22T14:57:05.273Z] cd "/Users/runner/agent/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17768687131744/renaissance-movie-lens_0"; \ [2026-04-22T14:57:05.273Z] echo ""; echo "TESTING:"; \ [2026-04-22T14:57:05.273Z] "/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_17768687131744/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-22T14:57:05.273Z] 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_17768687131744/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-22T14:57:05.273Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-22T14:57:05.273Z] echo "Nothing to be done for teardown."; \ [2026-04-22T14:57:05.273Z] } 2>&1 | tee -a "/Users/runner/agent/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17768687131744/TestTargetResult"; [2026-04-22T14:57:05.273Z] [2026-04-22T14:57:05.273Z] TEST SETUP: [2026-04-22T14:57:05.273Z] Nothing to be done for setup. [2026-04-22T14:57:05.273Z] [2026-04-22T14:57:05.273Z] TESTING: [2026-04-22T14:57:17.579Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-22T14:57:23.536Z] 14:57:22.380 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-04-22T14:57:25.613Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-22T14:57:27.000Z] Training: 60056, validation: 20285, test: 19854 [2026-04-22T14:57:27.000Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-22T14:57:27.000Z] GC before operation: completed in 114.756 ms, heap usage 540.032 MB -> 75.468 MB. [2026-04-22T14:57:39.319Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:57:45.328Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:57:51.363Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:57:57.350Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:58:00.279Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:58:04.234Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:58:08.052Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:58:10.154Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:58:10.797Z] 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. [2026-04-22T14:58:10.797Z] The best model improves the baseline by 14.52%. [2026-04-22T14:58:10.797Z] Top recommended movies for user id 72: [2026-04-22T14:58:10.797Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:58:10.797Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:58:10.797Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:58:10.797Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:58:10.797Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:58:10.797Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (43919.397 ms) ====== [2026-04-22T14:58:10.797Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-22T14:58:11.445Z] GC before operation: completed in 148.762 ms, heap usage 382.314 MB -> 89.467 MB. [2026-04-22T14:58:16.310Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:58:22.342Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:58:27.167Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:58:31.013Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:58:34.846Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:58:37.054Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:58:39.967Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:58:42.890Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:58:42.890Z] 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. [2026-04-22T14:58:43.538Z] The best model improves the baseline by 14.52%. [2026-04-22T14:58:43.538Z] Top recommended movies for user id 72: [2026-04-22T14:58:43.538Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:58:43.538Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:58:43.538Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:58:43.538Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:58:43.538Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:58:43.538Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (32380.277 ms) ====== [2026-04-22T14:58:43.538Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-22T14:58:43.538Z] GC before operation: completed in 161.658 ms, heap usage 170.958 MB -> 88.146 MB. [2026-04-22T14:58:49.512Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:58:54.384Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:58:59.227Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:59:04.058Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:59:06.135Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:59:08.267Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:59:11.198Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:59:14.096Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:59:14.734Z] 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. [2026-04-22T14:59:14.734Z] The best model improves the baseline by 14.52%. [2026-04-22T14:59:15.501Z] Top recommended movies for user id 72: [2026-04-22T14:59:15.501Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:59:15.501Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:59:15.501Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:59:15.501Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:59:15.501Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:59:15.501Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (31379.200 ms) ====== [2026-04-22T14:59:15.501Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-22T14:59:15.501Z] GC before operation: completed in 126.830 ms, heap usage 450.992 MB -> 89.270 MB. [2026-04-22T14:59:19.422Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:59:24.318Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:59:28.218Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:59:33.115Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:59:34.440Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:59:37.348Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:59:40.263Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:59:42.363Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:59:42.363Z] 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. [2026-04-22T14:59:42.363Z] The best model improves the baseline by 14.52%. [2026-04-22T14:59:43.005Z] Top recommended movies for user id 72: [2026-04-22T14:59:43.005Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T14:59:43.005Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T14:59:43.005Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T14:59:43.005Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T14:59:43.005Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T14:59:43.005Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (27575.381 ms) ====== [2026-04-22T14:59:43.005Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-22T14:59:43.005Z] GC before operation: completed in 127.860 ms, heap usage 522.796 MB -> 89.610 MB. [2026-04-22T14:59:46.819Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:59:51.669Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:59:55.547Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:59:59.363Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:00:00.689Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:00:02.777Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:00:04.869Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:00:06.940Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:00:06.940Z] 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. [2026-04-22T15:00:06.940Z] The best model improves the baseline by 14.52%. [2026-04-22T15:00:07.580Z] Top recommended movies for user id 72: [2026-04-22T15:00:07.580Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T15:00:07.580Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T15:00:07.580Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T15:00:07.580Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T15:00:07.580Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T15:00:07.580Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (24405.946 ms) ====== [2026-04-22T15:00:07.580Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-22T15:00:07.580Z] GC before operation: completed in 111.213 ms, heap usage 845.301 MB -> 93.387 MB. [2026-04-22T15:00:11.455Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:00:14.350Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:00:20.136Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:00:20.827Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:00:22.905Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:00:24.274Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:00:26.349Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:00:28.440Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:00:28.440Z] 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. [2026-04-22T15:00:28.440Z] The best model improves the baseline by 14.52%. [2026-04-22T15:00:29.080Z] Top recommended movies for user id 72: [2026-04-22T15:00:29.080Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T15:00:29.080Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T15:00:29.080Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T15:00:29.080Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T15:00:29.080Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T15:00:29.080Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (21392.926 ms) ====== [2026-04-22T15:00:29.080Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-22T15:00:29.080Z] GC before operation: completed in 99.936 ms, heap usage 387.146 MB -> 89.741 MB. [2026-04-22T15:00:32.897Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:00:35.813Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:00:38.736Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:00:41.650Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:00:43.726Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:00:45.054Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:00:47.146Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:00:49.223Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:00:49.223Z] 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. [2026-04-22T15:00:49.223Z] The best model improves the baseline by 14.52%. [2026-04-22T15:00:49.858Z] Top recommended movies for user id 72: [2026-04-22T15:00:49.858Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T15:00:49.858Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T15:00:49.858Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T15:00:49.858Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T15:00:49.858Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T15:00:49.858Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20572.606 ms) ====== [2026-04-22T15:00:49.858Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-22T15:00:49.858Z] GC before operation: completed in 89.394 ms, heap usage 316.194 MB -> 89.671 MB. [2026-04-22T15:00:52.763Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:00:56.603Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:00:59.546Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:01:03.384Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:01:04.725Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:01:07.624Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:01:08.974Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:01:11.081Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:01:11.081Z] 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. [2026-04-22T15:01:11.081Z] The best model improves the baseline by 14.52%. [2026-04-22T15:01:11.719Z] Top recommended movies for user id 72: [2026-04-22T15:01:11.719Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T15:01:11.719Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T15:01:11.719Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T15:01:11.719Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T15:01:11.719Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T15:01:11.719Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (21855.871 ms) ====== [2026-04-22T15:01:11.719Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-22T15:01:11.719Z] GC before operation: completed in 109.656 ms, heap usage 384.256 MB -> 90.007 MB. [2026-04-22T15:01:14.668Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:01:17.586Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:01:21.401Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:01:24.314Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:01:25.673Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:01:27.755Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:01:29.080Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:01:31.158Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:01:31.817Z] 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. [2026-04-22T15:01:31.817Z] The best model improves the baseline by 14.52%. [2026-04-22T15:01:31.817Z] Top recommended movies for user id 72: [2026-04-22T15:01:31.817Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T15:01:31.817Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T15:01:31.817Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T15:01:31.817Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T15:01:31.817Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T15:01:31.817Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20162.430 ms) ====== [2026-04-22T15:01:31.817Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-22T15:01:31.817Z] GC before operation: completed in 119.946 ms, heap usage 383.765 MB -> 89.819 MB. [2026-04-22T15:01:34.709Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:01:38.549Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:01:40.678Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:01:43.589Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:01:45.678Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:01:47.781Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:01:49.888Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:01:51.220Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:01:51.220Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T15:01:51.220Z] The best model improves the baseline by 14.52%. [2026-04-22T15:01:51.872Z] Top recommended movies for user id 72: [2026-04-22T15:01:51.872Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T15:01:51.872Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T15:01:51.872Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T15:01:51.872Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T15:01:51.872Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T15:01:51.872Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19661.060 ms) ====== [2026-04-22T15:01:51.872Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-22T15:01:51.872Z] GC before operation: completed in 89.204 ms, heap usage 356.481 MB -> 89.864 MB. [2026-04-22T15:01:54.061Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:01:57.896Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:02:01.698Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:02:04.629Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:02:05.962Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:02:07.290Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:02:09.367Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:02:11.442Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:02:12.083Z] 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. [2026-04-22T15:02:12.083Z] The best model improves the baseline by 14.52%. [2026-04-22T15:02:12.083Z] Top recommended movies for user id 72: [2026-04-22T15:02:12.083Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T15:02:12.083Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T15:02:12.083Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T15:02:12.083Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T15:02:12.083Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T15:02:12.083Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20635.799 ms) ====== [2026-04-22T15:02:12.083Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-22T15:02:12.722Z] GC before operation: completed in 103.211 ms, heap usage 273.157 MB -> 89.582 MB. [2026-04-22T15:02:15.633Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:02:19.447Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:02:22.346Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:02:26.149Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:02:27.474Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:02:29.561Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:02:30.951Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:02:33.064Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:02:33.064Z] 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. [2026-04-22T15:02:33.064Z] The best model improves the baseline by 14.52%. [2026-04-22T15:02:33.064Z] Top recommended movies for user id 72: [2026-04-22T15:02:33.064Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T15:02:33.064Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T15:02:33.064Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T15:02:33.064Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T15:02:33.064Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T15:02:33.064Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20900.628 ms) ====== [2026-04-22T15:02:33.064Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-22T15:02:33.712Z] GC before operation: completed in 99.373 ms, heap usage 521.257 MB -> 90.124 MB. [2026-04-22T15:02:36.622Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:02:39.527Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:02:42.453Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:02:45.352Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:02:47.486Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:02:49.564Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:02:51.641Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:02:52.964Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:02:53.603Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T15:02:53.603Z] The best model improves the baseline by 14.52%. [2026-04-22T15:02:53.603Z] Top recommended movies for user id 72: [2026-04-22T15:02:53.603Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T15:02:53.603Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T15:02:53.603Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T15:02:53.603Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T15:02:53.603Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T15:02:53.603Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20312.830 ms) ====== [2026-04-22T15:02:53.603Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-22T15:02:53.603Z] GC before operation: completed in 95.336 ms, heap usage 460.766 MB -> 90.175 MB. [2026-04-22T15:02:56.493Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:02:59.401Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:03:03.202Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:03:06.107Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:03:08.187Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:03:09.521Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:03:11.612Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:03:14.503Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:03:14.503Z] 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. [2026-04-22T15:03:14.503Z] The best model improves the baseline by 14.52%. [2026-04-22T15:03:14.503Z] Top recommended movies for user id 72: [2026-04-22T15:03:14.503Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T15:03:14.503Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T15:03:14.503Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T15:03:14.503Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T15:03:14.503Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T15:03:14.503Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20900.444 ms) ====== [2026-04-22T15:03:14.503Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-22T15:03:15.139Z] GC before operation: completed in 102.408 ms, heap usage 389.510 MB -> 89.846 MB. [2026-04-22T15:03:18.066Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:03:20.971Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:03:23.906Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:03:27.718Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:03:29.803Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:03:31.875Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:03:33.224Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:03:35.309Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:03:35.309Z] 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. [2026-04-22T15:03:35.309Z] The best model improves the baseline by 14.52%. [2026-04-22T15:03:35.309Z] Top recommended movies for user id 72: [2026-04-22T15:03:35.309Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T15:03:35.309Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T15:03:35.309Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T15:03:35.309Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T15:03:35.309Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T15:03:35.309Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20611.868 ms) ====== [2026-04-22T15:03:35.309Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-22T15:03:35.309Z] GC before operation: completed in 91.670 ms, heap usage 143.484 MB -> 89.810 MB. [2026-04-22T15:03:39.264Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:03:42.160Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:03:45.055Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:03:47.968Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:03:49.300Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:03:51.422Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:03:53.507Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:03:54.840Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:03:55.475Z] 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. [2026-04-22T15:03:55.475Z] The best model improves the baseline by 14.52%. [2026-04-22T15:03:55.475Z] Top recommended movies for user id 72: [2026-04-22T15:03:55.475Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T15:03:55.475Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T15:03:55.475Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T15:03:55.475Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T15:03:55.475Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T15:03:55.475Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19912.056 ms) ====== [2026-04-22T15:03:55.475Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-22T15:03:55.475Z] GC before operation: completed in 101.977 ms, heap usage 380.489 MB -> 90.077 MB. [2026-04-22T15:03:58.387Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:04:01.301Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:04:05.131Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:04:08.127Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:04:10.281Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:04:11.638Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:04:12.981Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:04:15.117Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:04:15.782Z] 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. [2026-04-22T15:04:15.782Z] The best model improves the baseline by 14.52%. [2026-04-22T15:04:15.782Z] Top recommended movies for user id 72: [2026-04-22T15:04:15.782Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T15:04:15.782Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T15:04:15.782Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T15:04:15.782Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T15:04:15.782Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T15:04:15.782Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (20308.080 ms) ====== [2026-04-22T15:04:15.782Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-22T15:04:15.782Z] GC before operation: completed in 86.441 ms, heap usage 352.011 MB -> 90.094 MB. [2026-04-22T15:04:18.710Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:04:22.588Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:04:26.413Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:04:29.326Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:04:31.398Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:04:32.724Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:04:34.824Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:04:36.153Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:04:36.153Z] 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. [2026-04-22T15:04:36.153Z] The best model improves the baseline by 14.52%. [2026-04-22T15:04:36.791Z] Top recommended movies for user id 72: [2026-04-22T15:04:36.791Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T15:04:36.791Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T15:04:36.791Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T15:04:36.791Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T15:04:36.791Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T15:04:36.791Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (20629.095 ms) ====== [2026-04-22T15:04:36.791Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-22T15:04:36.791Z] GC before operation: completed in 86.624 ms, heap usage 180.380 MB -> 89.779 MB. [2026-04-22T15:04:40.600Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:04:44.440Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:04:46.513Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:04:49.409Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:04:51.482Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:04:52.830Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:04:55.726Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:04:57.060Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:04:57.756Z] 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. [2026-04-22T15:04:57.756Z] The best model improves the baseline by 14.52%. [2026-04-22T15:04:57.756Z] Top recommended movies for user id 72: [2026-04-22T15:04:57.756Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T15:04:57.756Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T15:04:57.756Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T15:04:57.756Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T15:04:57.756Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T15:04:57.756Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21106.854 ms) ====== [2026-04-22T15:04:57.756Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-22T15:04:57.756Z] GC before operation: completed in 84.624 ms, heap usage 270.063 MB -> 89.917 MB. [2026-04-22T15:05:00.675Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:05:03.582Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:05:06.492Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:05:09.387Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:05:11.488Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:05:12.830Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:05:14.905Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:05:16.981Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:05:16.981Z] 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. [2026-04-22T15:05:16.981Z] The best model improves the baseline by 14.52%. [2026-04-22T15:05:16.981Z] Top recommended movies for user id 72: [2026-04-22T15:05:16.981Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T15:05:16.981Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T15:05:16.981Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T15:05:16.981Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T15:05:16.981Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T15:05:16.981Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19224.089 ms) ====== [2026-04-22T15:05:17.641Z] ----------------------------------- [2026-04-22T15:05:17.641Z] renaissance-movie-lens_0_PASSED [2026-04-22T15:05:17.641Z] ----------------------------------- [2026-04-22T15:05:17.641Z] [2026-04-22T15:05:17.641Z] TEST TEARDOWN: [2026-04-22T15:05:17.641Z] Nothing to be done for teardown. [2026-04-22T15:05:17.641Z] renaissance-movie-lens_0 Finish Time: Wed Apr 22 15:05:17 2026 Epoch Time (ms): 1776870317130