[2026-04-14T17:30:53.564Z] Running test renaissance-movie-lens_0 ... [2026-04-14T17:30:53.564Z] =============================================== [2026-04-14T17:30:53.564Z] renaissance-movie-lens_0 Start Time: Tue Apr 14 17:30:53 2026 Epoch Time (ms): 1776187853474 [2026-04-14T17:30:53.913Z] variation: NoOptions [2026-04-14T17:30:53.913Z] JVM_OPTIONS: [2026-04-14T17:30:53.913Z] { \ [2026-04-14T17:30:53.913Z] echo ""; echo "TEST SETUP:"; \ [2026-04-14T17:30:53.913Z] echo "Nothing to be done for setup."; \ [2026-04-14T17:30:53.913Z] mkdir -p "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17761863689289\\renaissance-movie-lens_0"; \ [2026-04-14T17:30:53.913Z] cd "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17761863689289\\renaissance-movie-lens_0"; \ [2026-04-14T17:30:53.913Z] echo ""; echo "TESTING:"; \ [2026-04-14T17:30:53.913Z] "c:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/jdkbinary/j2sdk-image\\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 "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17761863689289\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-04-14T17:30:53.913Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17761863689289\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-14T17:30:53.913Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-14T17:30:53.913Z] echo "Nothing to be done for teardown."; \ [2026-04-14T17:30:53.913Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17761863689289\\TestTargetResult"; [2026-04-14T17:30:53.913Z] [2026-04-14T17:30:53.913Z] TEST SETUP: [2026-04-14T17:30:53.913Z] Nothing to be done for setup. [2026-04-14T17:30:53.913Z] [2026-04-14T17:30:53.913Z] TESTING: [2026-04-14T17:31:07.151Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-04-14T17:31:13.568Z] 17:31:13.398 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-04-14T17:31:17.601Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-14T17:31:18.006Z] Training: 60056, validation: 20285, test: 19854 [2026-04-14T17:31:18.006Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-14T17:31:18.509Z] GC before operation: completed in 336.441 ms, heap usage 487.861 MB -> 75.835 MB. [2026-04-14T17:31:31.012Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T17:31:37.091Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T17:31:43.314Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T17:31:49.231Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T17:31:51.565Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T17:31:55.419Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T17:31:58.533Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T17:32:01.481Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T17:32:01.837Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-14T17:32:01.837Z] The best model improves the baseline by 14.34%. [2026-04-14T17:32:02.301Z] Top recommended movies for user id 72: [2026-04-14T17:32:02.301Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T17:32:02.301Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T17:32:02.301Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T17:32:02.301Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T17:32:02.301Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T17:32:02.301Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (43579.880 ms) ====== [2026-04-14T17:32:02.301Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-14T17:32:02.301Z] GC before operation: completed in 162.142 ms, heap usage 144.301 MB -> 87.864 MB. [2026-04-14T17:32:08.430Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T17:32:13.408Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T17:32:18.361Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T17:32:24.326Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T17:32:26.695Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T17:32:29.718Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T17:32:32.857Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T17:32:35.875Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T17:32:36.306Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-14T17:32:36.307Z] The best model improves the baseline by 14.34%. [2026-04-14T17:32:36.307Z] Top recommended movies for user id 72: [2026-04-14T17:32:36.307Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T17:32:36.307Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T17:32:36.307Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T17:32:36.307Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T17:32:36.307Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T17:32:36.307Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (34103.477 ms) ====== [2026-04-14T17:32:36.307Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-14T17:32:36.692Z] GC before operation: completed in 143.381 ms, heap usage 410.364 MB -> 88.303 MB. [2026-04-14T17:32:41.785Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T17:32:46.602Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T17:32:54.317Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T17:32:56.593Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T17:32:59.681Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T17:33:02.643Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T17:33:05.647Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T17:33:07.947Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T17:33:08.302Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-14T17:33:08.669Z] The best model improves the baseline by 14.34%. [2026-04-14T17:33:08.669Z] Top recommended movies for user id 72: [2026-04-14T17:33:08.669Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T17:33:08.669Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T17:33:08.669Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T17:33:08.669Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T17:33:08.669Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T17:33:08.669Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (32158.759 ms) ====== [2026-04-14T17:33:08.669Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-14T17:33:08.669Z] GC before operation: completed in 126.681 ms, heap usage 355.850 MB -> 88.719 MB. [2026-04-14T17:33:14.734Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T17:33:19.463Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T17:33:24.199Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T17:33:28.961Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T17:33:31.932Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T17:33:34.245Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T17:33:37.232Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T17:33:40.196Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T17:33:40.539Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-14T17:33:40.539Z] The best model improves the baseline by 14.34%. [2026-04-14T17:33:40.989Z] Top recommended movies for user id 72: [2026-04-14T17:33:40.989Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T17:33:40.989Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T17:33:40.989Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T17:33:40.989Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T17:33:40.989Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T17:33:40.989Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (32076.898 ms) ====== [2026-04-14T17:33:40.989Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-14T17:33:40.989Z] GC before operation: completed in 123.558 ms, heap usage 142.769 MB -> 90.888 MB. [2026-04-14T17:33:45.857Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T17:33:50.650Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T17:33:56.597Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T17:34:00.496Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T17:34:03.470Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T17:34:06.438Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T17:34:09.462Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T17:34:11.744Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T17:34:12.088Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-14T17:34:12.088Z] The best model improves the baseline by 14.34%. [2026-04-14T17:34:12.565Z] Top recommended movies for user id 72: [2026-04-14T17:34:12.565Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T17:34:12.565Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T17:34:12.565Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T17:34:12.565Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T17:34:12.565Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T17:34:12.565Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (31372.623 ms) ====== [2026-04-14T17:34:12.565Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-14T17:34:12.565Z] GC before operation: completed in 128.018 ms, heap usage 421.613 MB -> 91.283 MB. [2026-04-14T17:34:17.440Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T17:34:23.429Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T17:34:27.380Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T17:34:32.164Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T17:34:35.368Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T17:34:38.541Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T17:34:41.556Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T17:34:44.678Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T17:34:45.163Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-14T17:34:45.163Z] The best model improves the baseline by 14.34%. [2026-04-14T17:34:45.163Z] Top recommended movies for user id 72: [2026-04-14T17:34:45.163Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T17:34:45.163Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T17:34:45.163Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T17:34:45.163Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T17:34:45.163Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T17:34:45.163Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (32629.327 ms) ====== [2026-04-14T17:34:45.163Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-14T17:34:45.163Z] GC before operation: completed in 142.990 ms, heap usage 260.574 MB -> 89.196 MB. [2026-04-14T17:34:53.127Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T17:35:01.188Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T17:35:06.255Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T17:35:11.754Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T17:35:15.045Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T17:35:18.166Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T17:35:21.265Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T17:35:24.372Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T17:35:24.372Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-14T17:35:24.372Z] The best model improves the baseline by 14.34%. [2026-04-14T17:35:24.722Z] Top recommended movies for user id 72: [2026-04-14T17:35:24.722Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T17:35:24.722Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T17:35:24.722Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T17:35:24.722Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T17:35:24.722Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T17:35:24.722Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (39331.741 ms) ====== [2026-04-14T17:35:24.722Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-14T17:35:24.722Z] GC before operation: completed in 127.498 ms, heap usage 182.501 MB -> 94.817 MB. [2026-04-14T17:35:29.500Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T17:35:34.314Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T17:35:39.074Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T17:35:43.906Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T17:35:46.200Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T17:35:49.158Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T17:35:52.173Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T17:35:54.503Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T17:35:54.861Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-14T17:35:54.861Z] The best model improves the baseline by 14.34%. [2026-04-14T17:35:55.231Z] Top recommended movies for user id 72: [2026-04-14T17:35:55.231Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T17:35:55.231Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T17:35:55.231Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T17:35:55.231Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T17:35:55.231Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T17:35:55.231Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (30476.809 ms) ====== [2026-04-14T17:35:55.231Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-14T17:35:55.602Z] GC before operation: completed in 121.293 ms, heap usage 560.185 MB -> 93.066 MB. [2026-04-14T17:36:00.410Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T17:36:05.217Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T17:36:10.053Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T17:36:14.864Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T17:36:17.257Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T17:36:20.238Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T17:36:22.669Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T17:36:25.668Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T17:36:26.112Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-14T17:36:26.112Z] The best model improves the baseline by 14.34%. [2026-04-14T17:36:26.112Z] Top recommended movies for user id 72: [2026-04-14T17:36:26.112Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T17:36:26.112Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T17:36:26.112Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T17:36:26.112Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T17:36:26.112Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T17:36:26.112Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (30817.665 ms) ====== [2026-04-14T17:36:26.112Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-14T17:36:26.489Z] GC before operation: completed in 126.343 ms, heap usage 407.467 MB -> 89.439 MB. [2026-04-14T17:36:31.235Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T17:36:35.971Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T17:36:40.889Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T17:36:44.726Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T17:36:47.717Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T17:36:50.675Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T17:36:52.967Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T17:36:56.017Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T17:36:56.373Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-14T17:36:56.373Z] The best model improves the baseline by 14.34%. [2026-04-14T17:36:56.373Z] Top recommended movies for user id 72: [2026-04-14T17:36:56.373Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T17:36:56.373Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T17:36:56.373Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T17:36:56.373Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T17:36:56.373Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T17:36:56.373Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (30138.811 ms) ====== [2026-04-14T17:36:56.373Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-14T17:36:56.373Z] GC before operation: completed in 120.079 ms, heap usage 431.146 MB -> 89.717 MB. [2026-04-14T17:37:01.176Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T17:37:06.002Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T17:37:10.854Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T17:37:15.660Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T17:37:17.926Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T17:37:20.891Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T17:37:23.912Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T17:37:27.332Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T17:37:27.332Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-14T17:37:27.332Z] The best model improves the baseline by 14.34%. [2026-04-14T17:37:27.332Z] Top recommended movies for user id 72: [2026-04-14T17:37:27.332Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T17:37:27.332Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T17:37:27.332Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T17:37:27.332Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T17:37:27.332Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T17:37:27.332Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (30640.202 ms) ====== [2026-04-14T17:37:27.332Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-14T17:37:27.655Z] GC before operation: completed in 131.334 ms, heap usage 510.376 MB -> 92.749 MB. [2026-04-14T17:37:32.440Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T17:37:37.205Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T17:37:42.022Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T17:37:46.763Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T17:37:49.765Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T17:37:52.174Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T17:37:55.984Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T17:37:58.266Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T17:37:58.615Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-14T17:37:58.615Z] The best model improves the baseline by 14.34%. [2026-04-14T17:37:58.998Z] Top recommended movies for user id 72: [2026-04-14T17:37:58.998Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T17:37:58.998Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T17:37:58.998Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T17:37:58.998Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T17:37:58.998Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T17:37:58.998Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (31534.990 ms) ====== [2026-04-14T17:37:58.998Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-14T17:37:58.998Z] GC before operation: completed in 117.619 ms, heap usage 166.860 MB -> 89.225 MB. [2026-04-14T17:38:03.752Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T17:38:08.558Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T17:38:13.370Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T17:38:18.199Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T17:38:20.476Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T17:38:23.499Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T17:38:26.494Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T17:38:29.517Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T17:38:29.517Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-14T17:38:29.517Z] The best model improves the baseline by 14.34%. [2026-04-14T17:38:29.925Z] Top recommended movies for user id 72: [2026-04-14T17:38:29.925Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T17:38:29.925Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T17:38:29.925Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T17:38:29.925Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T17:38:29.925Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T17:38:29.925Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (30776.762 ms) ====== [2026-04-14T17:38:29.925Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-14T17:38:29.925Z] GC before operation: completed in 120.506 ms, heap usage 194.850 MB -> 95.040 MB. [2026-04-14T17:38:34.675Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T17:38:39.498Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T17:38:44.368Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T17:38:49.132Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T17:38:51.430Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T17:38:54.384Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T17:38:57.342Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T17:38:59.674Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T17:39:00.334Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-14T17:39:00.334Z] The best model improves the baseline by 14.34%. [2026-04-14T17:39:00.334Z] Top recommended movies for user id 72: [2026-04-14T17:39:00.334Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T17:39:00.334Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T17:39:00.334Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T17:39:00.334Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T17:39:00.334Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T17:39:00.334Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (30331.690 ms) ====== [2026-04-14T17:39:00.334Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-14T17:39:00.654Z] GC before operation: completed in 138.515 ms, heap usage 450.651 MB -> 89.558 MB. [2026-04-14T17:39:05.426Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T17:39:10.197Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T17:39:14.958Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T17:39:18.724Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T17:39:21.708Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T17:39:24.660Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T17:39:26.979Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T17:39:29.986Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T17:39:29.986Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-14T17:39:29.986Z] The best model improves the baseline by 14.34%. [2026-04-14T17:39:30.485Z] Top recommended movies for user id 72: [2026-04-14T17:39:30.485Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T17:39:30.485Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T17:39:30.485Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T17:39:30.485Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T17:39:30.485Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T17:39:30.485Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (29966.693 ms) ====== [2026-04-14T17:39:30.485Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-14T17:39:30.485Z] GC before operation: completed in 119.663 ms, heap usage 309.888 MB -> 89.594 MB. [2026-04-14T17:39:35.243Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T17:39:40.094Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T17:39:44.916Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T17:39:49.674Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T17:39:51.947Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T17:39:54.897Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T17:39:57.982Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T17:40:00.277Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T17:40:00.747Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-14T17:40:00.747Z] The best model improves the baseline by 14.34%. [2026-04-14T17:40:01.209Z] Top recommended movies for user id 72: [2026-04-14T17:40:01.209Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T17:40:01.209Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T17:40:01.209Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T17:40:01.209Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T17:40:01.209Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T17:40:01.209Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (30597.848 ms) ====== [2026-04-14T17:40:01.209Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-14T17:40:01.209Z] GC before operation: completed in 122.012 ms, heap usage 204.735 MB -> 91.346 MB. [2026-04-14T17:40:05.942Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T17:40:10.713Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T17:40:15.475Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T17:40:20.221Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T17:40:22.511Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T17:40:25.471Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T17:40:28.435Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T17:40:30.696Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T17:40:31.133Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-14T17:40:31.133Z] The best model improves the baseline by 14.34%. [2026-04-14T17:40:31.133Z] Top recommended movies for user id 72: [2026-04-14T17:40:31.133Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T17:40:31.133Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T17:40:31.133Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T17:40:31.133Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T17:40:31.133Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T17:40:31.133Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (30078.273 ms) ====== [2026-04-14T17:40:31.133Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-14T17:40:31.487Z] GC before operation: completed in 119.595 ms, heap usage 173.922 MB -> 92.714 MB. [2026-04-14T17:40:36.223Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T17:40:40.978Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T17:40:45.789Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T17:40:49.610Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T17:40:52.548Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T17:40:54.872Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T17:40:57.859Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T17:41:00.974Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T17:41:00.974Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-14T17:41:00.974Z] The best model improves the baseline by 14.34%. [2026-04-14T17:41:00.974Z] Top recommended movies for user id 72: [2026-04-14T17:41:00.974Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T17:41:00.974Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T17:41:00.974Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T17:41:00.974Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T17:41:00.974Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T17:41:00.974Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (29681.838 ms) ====== [2026-04-14T17:41:00.974Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-14T17:41:00.974Z] GC before operation: completed in 120.579 ms, heap usage 389.371 MB -> 89.511 MB. [2026-04-14T17:41:05.862Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T17:41:10.618Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T17:41:15.412Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T17:41:20.180Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T17:41:22.444Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T17:41:24.704Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T17:41:27.893Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T17:41:30.175Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T17:41:30.525Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-14T17:41:30.888Z] The best model improves the baseline by 14.34%. [2026-04-14T17:41:30.888Z] Top recommended movies for user id 72: [2026-04-14T17:41:30.888Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T17:41:30.888Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T17:41:30.888Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T17:41:30.888Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T17:41:30.888Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T17:41:30.888Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (29773.730 ms) ====== [2026-04-14T17:41:30.888Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-14T17:41:30.888Z] GC before operation: completed in 117.520 ms, heap usage 246.129 MB -> 89.338 MB. [2026-04-14T17:41:35.766Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T17:41:40.488Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T17:41:45.300Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T17:41:49.143Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T17:41:52.156Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T17:41:54.479Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T17:41:57.520Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T17:42:00.565Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T17:42:00.565Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-14T17:42:00.565Z] The best model improves the baseline by 14.34%. [2026-04-14T17:42:00.565Z] Top recommended movies for user id 72: [2026-04-14T17:42:00.565Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T17:42:00.565Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T17:42:00.565Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T17:42:00.565Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T17:42:00.565Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T17:42:00.565Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (29648.018 ms) ====== [2026-04-14T17:42:00.916Z] ----------------------------------- [2026-04-14T17:42:00.916Z] renaissance-movie-lens_0_PASSED [2026-04-14T17:42:00.916Z] ----------------------------------- [2026-04-14T17:42:01.649Z] [2026-04-14T17:42:01.649Z] TEST TEARDOWN: [2026-04-14T17:42:01.649Z] Nothing to be done for teardown. [2026-04-14T17:42:01.649Z] renaissance-movie-lens_0 Finish Time: Tue Apr 14 17:42:01 2026 Epoch Time (ms): 1776188521335