[2026-04-01T21:28:56.360Z] Running test renaissance-movie-lens_0 ... [2026-04-01T21:28:56.360Z] =============================================== [2026-04-01T21:28:56.360Z] renaissance-movie-lens_0 Start Time: Wed Apr 1 21:28:55 2026 Epoch Time (ms): 1775078935543 [2026-04-01T21:28:56.360Z] variation: NoOptions [2026-04-01T21:28:56.360Z] JVM_OPTIONS: [2026-04-01T21:28:56.360Z] { \ [2026-04-01T21:28:56.360Z] echo ""; echo "TEST SETUP:"; \ [2026-04-01T21:28:56.360Z] echo "Nothing to be done for setup."; \ [2026-04-01T21:28:56.360Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17750780587161/renaissance-movie-lens_0"; \ [2026-04-01T21:28:56.360Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17750780587161/renaissance-movie-lens_0"; \ [2026-04-01T21:28:56.360Z] echo ""; echo "TESTING:"; \ [2026-04-01T21:28:56.360Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/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 "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17750780587161/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-01T21:28:56.360Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17750780587161/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-01T21:28:56.360Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-01T21:28:56.360Z] echo "Nothing to be done for teardown."; \ [2026-04-01T21:28:56.360Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17750780587161/TestTargetResult"; [2026-04-01T21:28:56.360Z] [2026-04-01T21:28:56.360Z] TEST SETUP: [2026-04-01T21:28:56.360Z] Nothing to be done for setup. [2026-04-01T21:28:56.360Z] [2026-04-01T21:28:56.360Z] TESTING: [2026-04-01T21:29:00.343Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-01T21:29:06.550Z] 21:29:05.549 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. [2026-04-01T21:29:08.276Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-01T21:29:08.593Z] Training: 60056, validation: 20285, test: 19854 [2026-04-01T21:29:08.593Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-01T21:29:08.939Z] GC before operation: completed in 123.971 ms, heap usage 497.123 MB -> 76.749 MB. [2026-04-01T21:29:16.421Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:29:21.275Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:29:24.479Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:29:27.594Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:29:29.271Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:29:33.341Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:29:34.636Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:29:35.921Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:29:36.256Z] 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. [2026-04-01T21:29:36.256Z] The best model improves the baseline by 14.52%. [2026-04-01T21:29:36.589Z] Top recommended movies for user id 72: [2026-04-01T21:29:36.589Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:29:36.589Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:29:36.589Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:29:36.589Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:29:36.589Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:29:36.589Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (27576.336 ms) ====== [2026-04-01T21:29:36.589Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-01T21:29:36.589Z] GC before operation: completed in 148.950 ms, heap usage 795.707 MB -> 98.404 MB. [2026-04-01T21:29:39.020Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:29:41.415Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:29:44.005Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:29:46.060Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:29:47.315Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:29:52.381Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:29:52.381Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:29:52.381Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:29:52.381Z] 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. [2026-04-01T21:29:52.381Z] The best model improves the baseline by 14.52%. [2026-04-01T21:29:52.381Z] Top recommended movies for user id 72: [2026-04-01T21:29:52.381Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:29:52.381Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:29:52.381Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:29:52.381Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:29:52.381Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:29:52.381Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (15059.259 ms) ====== [2026-04-01T21:29:52.381Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-01T21:29:52.381Z] GC before operation: completed in 154.426 ms, heap usage 227.827 MB -> 89.462 MB. [2026-04-01T21:29:54.335Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:29:56.616Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:29:58.319Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:30:00.625Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:30:01.883Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:30:03.257Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:30:04.437Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:30:05.797Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:30:05.797Z] 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. [2026-04-01T21:30:05.797Z] The best model improves the baseline by 14.52%. [2026-04-01T21:30:05.797Z] Top recommended movies for user id 72: [2026-04-01T21:30:05.797Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:30:05.797Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:30:05.797Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:30:05.797Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:30:05.797Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:30:05.797Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (14024.135 ms) ====== [2026-04-01T21:30:05.797Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-01T21:30:06.186Z] GC before operation: completed in 135.602 ms, heap usage 178.912 MB -> 90.235 MB. [2026-04-01T21:30:07.946Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:30:10.252Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:30:12.014Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:30:14.381Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:30:15.575Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:30:16.826Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:30:18.078Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:30:19.338Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:30:19.338Z] 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. [2026-04-01T21:30:19.338Z] The best model improves the baseline by 14.52%. [2026-04-01T21:30:22.158Z] Top recommended movies for user id 72: [2026-04-01T21:30:22.158Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:30:22.158Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:30:22.158Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:30:22.158Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:30:22.158Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:30:22.158Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (13584.069 ms) ====== [2026-04-01T21:30:22.158Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-01T21:30:22.158Z] GC before operation: completed in 133.580 ms, heap usage 732.016 MB -> 94.421 MB. [2026-04-01T21:30:22.158Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:30:24.887Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:30:27.681Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:30:27.681Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:30:32.685Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:30:32.685Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:30:32.685Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:30:34.756Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:30:34.756Z] 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. [2026-04-01T21:30:34.756Z] The best model improves the baseline by 14.52%. [2026-04-01T21:30:34.756Z] Top recommended movies for user id 72: [2026-04-01T21:30:34.756Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:30:34.756Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:30:34.756Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:30:34.756Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:30:34.756Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:30:34.756Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (13619.347 ms) ====== [2026-04-01T21:30:34.756Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-01T21:30:34.756Z] GC before operation: completed in 117.208 ms, heap usage 780.561 MB -> 94.467 MB. [2026-04-01T21:30:35.725Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:30:37.578Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:30:39.228Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:30:40.917Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:30:42.099Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:30:43.319Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:30:44.496Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:30:45.670Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:30:45.670Z] 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. [2026-04-01T21:30:45.670Z] The best model improves the baseline by 14.52%. [2026-04-01T21:30:46.022Z] Top recommended movies for user id 72: [2026-04-01T21:30:46.022Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:30:46.022Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:30:46.022Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:30:46.022Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:30:46.022Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:30:46.022Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (12507.030 ms) ====== [2026-04-01T21:30:46.022Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-01T21:30:46.022Z] GC before operation: completed in 123.647 ms, heap usage 622.243 MB -> 94.577 MB. [2026-04-01T21:30:48.347Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:30:50.040Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:30:51.797Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:30:53.683Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:30:54.856Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:30:56.015Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:30:57.000Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:30:57.777Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:30:58.137Z] 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. [2026-04-01T21:30:58.137Z] The best model improves the baseline by 14.52%. [2026-04-01T21:30:58.137Z] Top recommended movies for user id 72: [2026-04-01T21:30:58.137Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:30:58.137Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:30:58.137Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:30:58.137Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:30:58.137Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:30:58.137Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (12223.245 ms) ====== [2026-04-01T21:30:58.137Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-01T21:30:58.499Z] GC before operation: completed in 121.988 ms, heap usage 442.160 MB -> 91.014 MB. [2026-04-01T21:31:00.439Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:31:02.121Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:31:03.933Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:31:05.761Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:31:06.502Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:31:07.873Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:31:09.244Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:31:10.000Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:31:10.347Z] 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. [2026-04-01T21:31:10.347Z] The best model improves the baseline by 14.52%. [2026-04-01T21:31:10.347Z] Top recommended movies for user id 72: [2026-04-01T21:31:10.347Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:31:10.347Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:31:10.347Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:31:10.347Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:31:10.347Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:31:10.347Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (12017.573 ms) ====== [2026-04-01T21:31:10.347Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-01T21:31:10.700Z] GC before operation: completed in 133.108 ms, heap usage 448.788 MB -> 91.241 MB. [2026-04-01T21:31:12.407Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:31:14.130Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:31:16.483Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:31:17.709Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:31:18.921Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:31:20.184Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:31:20.961Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:31:22.186Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:31:22.186Z] 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. [2026-04-01T21:31:22.186Z] The best model improves the baseline by 14.52%. [2026-04-01T21:31:22.524Z] Top recommended movies for user id 72: [2026-04-01T21:31:22.524Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:31:22.524Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:31:22.524Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:31:22.524Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:31:22.524Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:31:22.524Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (11931.484 ms) ====== [2026-04-01T21:31:22.524Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-01T21:31:22.524Z] GC before operation: completed in 119.911 ms, heap usage 949.290 MB -> 95.552 MB. [2026-04-01T21:31:24.771Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:31:26.087Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:31:27.765Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:31:29.627Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:31:30.865Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:31:31.619Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:31:32.783Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:31:33.960Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:31:33.960Z] 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. [2026-04-01T21:31:33.960Z] The best model improves the baseline by 14.52%. [2026-04-01T21:31:34.306Z] Top recommended movies for user id 72: [2026-04-01T21:31:34.306Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:31:34.306Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:31:34.306Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:31:34.306Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:31:34.306Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:31:34.306Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (11564.663 ms) ====== [2026-04-01T21:31:34.306Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-01T21:31:34.306Z] GC before operation: completed in 142.588 ms, heap usage 187.432 MB -> 91.002 MB. [2026-04-01T21:31:36.045Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:31:37.795Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:31:40.113Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:31:41.826Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:31:42.873Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:31:43.640Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:31:45.030Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:31:46.288Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:31:46.288Z] 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. [2026-04-01T21:31:46.288Z] The best model improves the baseline by 14.52%. [2026-04-01T21:31:46.289Z] Top recommended movies for user id 72: [2026-04-01T21:31:46.289Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:31:46.289Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:31:46.289Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:31:46.289Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:31:46.289Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:31:46.289Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (12097.790 ms) ====== [2026-04-01T21:31:46.289Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-01T21:31:46.648Z] GC before operation: completed in 144.992 ms, heap usage 792.781 MB -> 94.839 MB. [2026-04-01T21:31:48.429Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:31:50.221Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:31:52.105Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:31:53.839Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:31:55.084Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:31:55.822Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:31:56.997Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:31:58.250Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:31:58.250Z] 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. [2026-04-01T21:31:58.607Z] The best model improves the baseline by 14.52%. [2026-04-01T21:31:58.607Z] Top recommended movies for user id 72: [2026-04-01T21:31:58.607Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:31:58.607Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:31:58.607Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:31:58.607Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:31:58.607Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:31:58.608Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (12034.196 ms) ====== [2026-04-01T21:31:58.608Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-01T21:31:58.608Z] GC before operation: completed in 142.139 ms, heap usage 808.851 MB -> 95.084 MB. [2026-04-01T21:32:00.950Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:32:02.157Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:32:04.553Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:32:05.756Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:32:07.222Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:32:07.995Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:32:09.263Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:32:10.544Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:32:10.544Z] 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. [2026-04-01T21:32:10.544Z] The best model improves the baseline by 14.52%. [2026-04-01T21:32:10.904Z] Top recommended movies for user id 72: [2026-04-01T21:32:10.904Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:32:10.904Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:32:10.904Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:32:10.904Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:32:10.904Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:32:10.904Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (12043.125 ms) ====== [2026-04-01T21:32:10.904Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-01T21:32:10.904Z] GC before operation: completed in 132.352 ms, heap usage 307.792 MB -> 91.172 MB. [2026-04-01T21:32:12.660Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:32:14.626Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:32:16.497Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:32:18.287Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:32:19.008Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:32:19.915Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:32:21.105Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:32:22.335Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:32:22.335Z] 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. [2026-04-01T21:32:22.335Z] The best model improves the baseline by 14.52%. [2026-04-01T21:32:22.688Z] Top recommended movies for user id 72: [2026-04-01T21:32:22.688Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:32:22.688Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:32:22.688Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:32:22.688Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:32:22.688Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:32:22.688Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (11612.274 ms) ====== [2026-04-01T21:32:22.688Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-01T21:32:22.688Z] GC before operation: completed in 122.760 ms, heap usage 208.712 MB -> 90.857 MB. [2026-04-01T21:32:24.403Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:32:26.279Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:32:28.041Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:32:29.713Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:32:30.986Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:32:31.711Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:32:33.094Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:32:33.854Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:32:33.854Z] 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. [2026-04-01T21:32:33.854Z] The best model improves the baseline by 14.52%. [2026-04-01T21:32:34.176Z] Top recommended movies for user id 72: [2026-04-01T21:32:34.176Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:32:34.176Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:32:34.176Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:32:34.176Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:32:34.176Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:32:34.176Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (11386.600 ms) ====== [2026-04-01T21:32:34.176Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-01T21:32:34.176Z] GC before operation: completed in 128.368 ms, heap usage 1.001 GB -> 96.124 MB. [2026-04-01T21:32:35.840Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:32:37.520Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:32:39.247Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:32:40.925Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:32:42.059Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:32:43.237Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:32:44.393Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:32:45.114Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:32:45.436Z] 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. [2026-04-01T21:32:45.436Z] The best model improves the baseline by 14.52%. [2026-04-01T21:32:45.784Z] Top recommended movies for user id 72: [2026-04-01T21:32:45.784Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:32:45.784Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:32:45.784Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:32:45.784Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:32:45.784Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:32:45.784Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (11453.067 ms) ====== [2026-04-01T21:32:45.784Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-01T21:32:45.784Z] GC before operation: completed in 139.658 ms, heap usage 310.074 MB -> 91.118 MB. [2026-04-01T21:32:47.873Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:32:49.283Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:32:51.242Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:32:52.590Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:32:53.495Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:32:54.664Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:32:55.849Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:32:56.626Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:32:56.976Z] 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. [2026-04-01T21:32:56.976Z] The best model improves the baseline by 14.52%. [2026-04-01T21:32:56.976Z] Top recommended movies for user id 72: [2026-04-01T21:32:56.976Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:32:56.976Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:32:56.976Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:32:56.976Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:32:56.976Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:32:56.976Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (11191.592 ms) ====== [2026-04-01T21:32:56.976Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-01T21:32:56.976Z] GC before operation: completed in 119.711 ms, heap usage 761.803 MB -> 95.108 MB. [2026-04-01T21:32:58.756Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:33:00.600Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:33:02.629Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:33:03.815Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:33:05.258Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:33:06.297Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:33:07.159Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:33:07.943Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:33:08.617Z] 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. [2026-04-01T21:33:08.617Z] The best model improves the baseline by 14.52%. [2026-04-01T21:33:08.617Z] Top recommended movies for user id 72: [2026-04-01T21:33:08.617Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:33:08.617Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:33:08.617Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:33:08.617Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:33:08.617Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:33:08.617Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (11317.643 ms) ====== [2026-04-01T21:33:08.617Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-01T21:33:08.617Z] GC before operation: completed in 115.087 ms, heap usage 509.439 MB -> 91.241 MB. [2026-04-01T21:33:10.457Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:33:12.486Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:33:14.068Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:33:15.892Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:33:16.670Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:33:17.907Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:33:18.670Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:33:20.140Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:33:20.140Z] 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. [2026-04-01T21:33:20.140Z] The best model improves the baseline by 14.52%. [2026-04-01T21:33:20.140Z] Top recommended movies for user id 72: [2026-04-01T21:33:20.140Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:33:20.140Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:33:20.140Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:33:20.140Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:33:20.140Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:33:20.140Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (11736.570 ms) ====== [2026-04-01T21:33:20.140Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-01T21:33:20.547Z] GC before operation: completed in 136.842 ms, heap usage 309.700 MB -> 91.101 MB. [2026-04-01T21:33:22.723Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T21:33:24.057Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T21:33:25.868Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T21:33:27.620Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T21:33:28.842Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T21:33:30.005Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T21:33:30.782Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T21:33:32.077Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T21:33:32.077Z] 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. [2026-04-01T21:33:32.077Z] The best model improves the baseline by 14.52%. [2026-04-01T21:33:32.427Z] Top recommended movies for user id 72: [2026-04-01T21:33:32.428Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-01T21:33:32.428Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-01T21:33:32.428Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-01T21:33:32.428Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-01T21:33:32.428Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-01T21:33:32.428Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (11928.620 ms) ====== [2026-04-01T21:33:33.261Z] ----------------------------------- [2026-04-01T21:33:33.261Z] renaissance-movie-lens_0_PASSED [2026-04-01T21:33:33.261Z] ----------------------------------- [2026-04-01T21:33:33.261Z] [2026-04-01T21:33:33.261Z] TEST TEARDOWN: [2026-04-01T21:33:33.261Z] Nothing to be done for teardown. [2026-04-01T21:33:33.261Z] renaissance-movie-lens_0 Finish Time: Wed Apr 1 21:33:33 2026 Epoch Time (ms): 1775079213010