[2026-04-14T05:40:25.104Z] Running test renaissance-movie-lens_0 ... [2026-04-14T05:40:25.104Z] =============================================== [2026-04-14T05:40:25.104Z] renaissance-movie-lens_0 Start Time: Tue Apr 14 05:40:24 2026 Epoch Time (ms): 1776145224849 [2026-04-14T05:40:25.104Z] variation: NoOptions [2026-04-14T05:40:25.104Z] JVM_OPTIONS: [2026-04-14T05:40:25.104Z] { \ [2026-04-14T05:40:25.104Z] echo ""; echo "TEST SETUP:"; \ [2026-04-14T05:40:25.104Z] echo "Nothing to be done for setup."; \ [2026-04-14T05:40:25.104Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17761441261335/renaissance-movie-lens_0"; \ [2026-04-14T05:40:25.104Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17761441261335/renaissance-movie-lens_0"; \ [2026-04-14T05:40:25.104Z] echo ""; echo "TESTING:"; \ [2026-04-14T05:40:25.104Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-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_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17761441261335/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-14T05:40:25.104Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17761441261335/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-14T05:40:25.104Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-14T05:40:25.104Z] echo "Nothing to be done for teardown."; \ [2026-04-14T05:40:25.104Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17761441261335/TestTargetResult"; [2026-04-14T05:40:25.104Z] [2026-04-14T05:40:25.104Z] TEST SETUP: [2026-04-14T05:40:25.104Z] Nothing to be done for setup. [2026-04-14T05:40:25.104Z] [2026-04-14T05:40:25.104Z] TESTING: [2026-04-14T05:40:33.230Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-14T05:40:44.817Z] 05:40:43.416 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-04-14T05:40:47.322Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-14T05:40:48.080Z] Training: 60056, validation: 20285, test: 19854 [2026-04-14T05:40:48.080Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-14T05:40:48.080Z] GC before operation: completed in 256.255 ms, heap usage 225.283 MB -> 76.011 MB. [2026-04-14T05:40:57.917Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T05:41:03.434Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T05:41:08.932Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T05:41:14.446Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T05:41:16.891Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T05:41:20.251Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T05:41:23.601Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T05:41:26.025Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T05:41:26.782Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-14T05:41:26.782Z] The best model improves the baseline by 14.52%. [2026-04-14T05:41:27.545Z] Top recommended movies for user id 72: [2026-04-14T05:41:27.545Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T05:41:27.545Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T05:41:27.545Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T05:41:27.545Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T05:41:27.545Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T05:41:27.545Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (39158.046 ms) ====== [2026-04-14T05:41:27.545Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-14T05:41:27.545Z] GC before operation: completed in 237.037 ms, heap usage 158.265 MB -> 86.598 MB. [2026-04-14T05:41:31.928Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T05:41:37.436Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T05:41:41.890Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T05:41:46.275Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T05:41:48.760Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T05:41:52.125Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T05:41:55.476Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T05:41:57.939Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T05:41:57.939Z] 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. [2026-04-14T05:41:58.690Z] The best model improves the baseline by 14.52%. [2026-04-14T05:41:58.690Z] Top recommended movies for user id 72: [2026-04-14T05:41:58.690Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T05:41:58.690Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T05:41:58.690Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T05:41:58.690Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T05:41:58.690Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T05:41:58.690Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (31208.830 ms) ====== [2026-04-14T05:41:58.690Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-14T05:41:58.690Z] GC before operation: completed in 236.269 ms, heap usage 155.795 MB -> 88.653 MB. [2026-04-14T05:42:03.069Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T05:42:08.619Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T05:42:13.003Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T05:42:17.547Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T05:42:19.980Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T05:42:23.359Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T05:42:25.876Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T05:42:29.436Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T05:42:29.436Z] 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. [2026-04-14T05:42:29.436Z] The best model improves the baseline by 14.52%. [2026-04-14T05:42:29.436Z] Top recommended movies for user id 72: [2026-04-14T05:42:29.436Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T05:42:29.436Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T05:42:29.436Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T05:42:29.436Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T05:42:29.436Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T05:42:29.436Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (30685.134 ms) ====== [2026-04-14T05:42:29.436Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-14T05:42:30.193Z] GC before operation: completed in 259.470 ms, heap usage 116.710 MB -> 89.366 MB. [2026-04-14T05:42:34.576Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T05:42:38.953Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T05:42:43.349Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T05:42:47.770Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T05:42:50.192Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T05:42:52.611Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T05:42:55.038Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T05:42:58.386Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T05:42:58.386Z] 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. [2026-04-14T05:42:58.386Z] The best model improves the baseline by 14.52%. [2026-04-14T05:42:58.386Z] Top recommended movies for user id 72: [2026-04-14T05:42:58.386Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T05:42:59.140Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T05:42:59.140Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T05:42:59.140Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T05:42:59.140Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T05:42:59.140Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (28940.925 ms) ====== [2026-04-14T05:42:59.140Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-14T05:42:59.140Z] GC before operation: completed in 242.873 ms, heap usage 126.931 MB -> 89.604 MB. [2026-04-14T05:43:03.524Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T05:43:06.916Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T05:43:11.354Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T05:43:16.030Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T05:43:18.469Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T05:43:20.893Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T05:43:23.315Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T05:43:26.684Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T05:43:26.684Z] 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. [2026-04-14T05:43:26.684Z] The best model improves the baseline by 14.52%. [2026-04-14T05:43:26.684Z] Top recommended movies for user id 72: [2026-04-14T05:43:26.684Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T05:43:26.684Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T05:43:26.684Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T05:43:26.684Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T05:43:26.684Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T05:43:26.684Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (27937.655 ms) ====== [2026-04-14T05:43:26.684Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-14T05:43:27.444Z] GC before operation: completed in 233.671 ms, heap usage 104.849 MB -> 89.528 MB. [2026-04-14T05:43:31.817Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T05:43:36.204Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T05:43:40.566Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T05:43:44.947Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T05:43:46.503Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T05:43:49.898Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T05:43:53.783Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T05:43:54.538Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T05:43:55.286Z] 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. [2026-04-14T05:43:55.286Z] The best model improves the baseline by 14.52%. [2026-04-14T05:43:55.286Z] Top recommended movies for user id 72: [2026-04-14T05:43:55.286Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T05:43:55.286Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T05:43:55.286Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T05:43:55.286Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T05:43:55.286Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T05:43:55.286Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (28271.262 ms) ====== [2026-04-14T05:43:55.286Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-14T05:43:55.286Z] GC before operation: completed in 185.867 ms, heap usage 471.594 MB -> 90.451 MB. [2026-04-14T05:43:59.656Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T05:44:04.039Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T05:44:08.416Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T05:44:12.818Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T05:44:15.254Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T05:44:17.688Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T05:44:20.124Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T05:44:22.549Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T05:44:23.345Z] 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. [2026-04-14T05:44:23.345Z] The best model improves the baseline by 14.52%. [2026-04-14T05:44:23.345Z] Top recommended movies for user id 72: [2026-04-14T05:44:23.345Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T05:44:23.345Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T05:44:23.345Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T05:44:23.345Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T05:44:23.345Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T05:44:23.345Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (27776.917 ms) ====== [2026-04-14T05:44:23.345Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-14T05:44:23.345Z] GC before operation: completed in 183.689 ms, heap usage 127.268 MB -> 89.897 MB. [2026-04-14T05:44:27.999Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T05:44:31.353Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T05:44:35.741Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T05:44:39.099Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T05:44:41.530Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T05:44:43.956Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T05:44:48.751Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T05:44:48.751Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T05:44:48.751Z] 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. [2026-04-14T05:44:48.751Z] The best model improves the baseline by 14.52%. [2026-04-14T05:44:49.526Z] Top recommended movies for user id 72: [2026-04-14T05:44:49.526Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T05:44:49.526Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T05:44:49.526Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T05:44:49.526Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T05:44:49.526Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T05:44:49.526Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (25612.626 ms) ====== [2026-04-14T05:44:49.526Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-14T05:44:49.526Z] GC before operation: completed in 219.572 ms, heap usage 685.321 MB -> 94.024 MB. [2026-04-14T05:44:53.904Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T05:45:01.706Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T05:45:08.782Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T05:45:08.782Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T05:45:26.997Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T05:45:26.997Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T05:45:26.997Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T05:45:26.997Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T05:45:26.997Z] 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. [2026-04-14T05:45:26.997Z] The best model improves the baseline by 14.52%. [2026-04-14T05:45:26.997Z] Top recommended movies for user id 72: [2026-04-14T05:45:26.997Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T05:45:26.997Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T05:45:26.997Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T05:45:26.997Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T05:45:26.997Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T05:45:26.997Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (26120.740 ms) ====== [2026-04-14T05:45:26.997Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-14T05:45:26.997Z] GC before operation: completed in 221.411 ms, heap usage 432.313 MB -> 90.457 MB. [2026-04-14T05:45:26.997Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T05:45:26.997Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T05:46:21.884Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T05:46:21.884Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T05:46:21.884Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T05:46:21.884Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T05:46:21.884Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T05:46:21.884Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T05:46:21.884Z] 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. [2026-04-14T05:46:21.884Z] The best model improves the baseline by 14.52%. [2026-04-14T05:46:21.884Z] Top recommended movies for user id 72: [2026-04-14T05:46:21.884Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T05:46:21.884Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T05:46:21.884Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T05:46:21.884Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T05:46:21.884Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T05:46:21.884Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (27353.730 ms) ====== [2026-04-14T05:46:21.884Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-14T05:46:21.884Z] GC before operation: completed in 165.977 ms, heap usage 112.149 MB -> 90.195 MB. [2026-04-14T05:46:21.884Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T05:46:21.884Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T05:46:21.884Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T05:46:21.885Z] test-docker-alpine320-x64-1 seems to be removed or offline (java.lang.InterruptedException); will wait for 5 min 0 sec for it to come back online [2026-04-14T05:46:27.092Z] test-docker-alpine320-x64-1 is back online [2026-04-14T05:46:27.507Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T05:46:27.507Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T05:46:27.507Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T05:46:27.507Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T05:46:27.507Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T05:46:27.507Z] 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. [2026-04-14T05:46:27.507Z] The best model improves the baseline by 14.52%. [2026-04-14T05:46:27.507Z] Top recommended movies for user id 72: [2026-04-14T05:46:27.507Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T05:46:27.507Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T05:46:27.507Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T05:46:27.507Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T05:46:27.507Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T05:46:27.507Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (27505.856 ms) ====== [2026-04-14T05:46:27.507Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-14T05:46:27.507Z] GC before operation: completed in 274.734 ms, heap usage 433.085 MB -> 90.317 MB. [2026-04-14T05:46:27.507Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T05:46:27.507Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T05:46:27.507Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T05:46:27.507Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T05:46:29.616Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T05:46:33.625Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T05:46:34.392Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T05:46:40.958Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T05:46:40.958Z] 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. [2026-04-14T05:46:40.958Z] The best model improves the baseline by 14.52%. [2026-04-14T05:46:40.958Z] Top recommended movies for user id 72: [2026-04-14T05:46:40.958Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T05:46:40.958Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T05:46:40.958Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T05:46:40.958Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T05:46:40.958Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T05:46:40.958Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (26587.945 ms) ====== [2026-04-14T05:46:40.958Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-14T05:46:40.958Z] GC before operation: completed in 223.840 ms, heap usage 306.704 MB -> 90.406 MB. [2026-04-14T05:46:42.563Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T05:46:49.391Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T05:46:50.149Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T05:46:57.773Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T05:46:57.773Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T05:47:02.292Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T05:47:09.234Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T05:47:09.235Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T05:47:09.235Z] 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. [2026-04-14T05:47:09.235Z] The best model improves the baseline by 14.52%. [2026-04-14T05:47:09.235Z] Top recommended movies for user id 72: [2026-04-14T05:47:09.235Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T05:47:09.235Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T05:47:09.235Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T05:47:09.235Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T05:47:09.235Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T05:47:09.235Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (28096.205 ms) ====== [2026-04-14T05:47:09.235Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-14T05:47:09.235Z] GC before operation: completed in 255.518 ms, heap usage 138.468 MB -> 92.389 MB. [2026-04-14T05:47:16.486Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T05:47:43.863Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T05:47:43.863Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T05:47:43.863Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T05:47:43.863Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T05:47:43.863Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T05:47:43.863Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T05:47:43.863Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T05:47:43.863Z] 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. [2026-04-14T05:47:43.863Z] The best model improves the baseline by 14.52%. [2026-04-14T05:47:43.863Z] Top recommended movies for user id 72: [2026-04-14T05:47:43.863Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T05:47:43.863Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T05:47:43.863Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T05:47:43.863Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T05:47:43.863Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T05:47:43.863Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (27558.644 ms) ====== [2026-04-14T05:47:43.863Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-14T05:47:43.863Z] GC before operation: completed in 186.566 ms, heap usage 423.281 MB -> 90.483 MB. [2026-04-14T05:47:43.863Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T05:47:43.863Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T05:47:55.441Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T05:47:55.441Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T05:47:55.441Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T05:47:57.438Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T05:47:57.438Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T05:47:59.092Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T05:47:59.092Z] 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. [2026-04-14T05:47:59.092Z] The best model improves the baseline by 14.52%. [2026-04-14T05:48:00.009Z] Top recommended movies for user id 72: [2026-04-14T05:48:00.009Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T05:48:00.009Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T05:48:00.009Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T05:48:00.009Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T05:48:00.009Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T05:48:00.009Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (25544.367 ms) ====== [2026-04-14T05:48:00.009Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-14T05:48:00.009Z] GC before operation: completed in 264.333 ms, heap usage 119.022 MB -> 92.573 MB. [2026-04-14T05:48:03.418Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T05:48:08.366Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T05:48:11.804Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T05:48:15.213Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T05:48:17.627Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T05:48:20.044Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T05:48:22.467Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T05:48:24.020Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T05:48:24.770Z] 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. [2026-04-14T05:48:24.770Z] The best model improves the baseline by 14.52%. [2026-04-14T05:48:24.770Z] Top recommended movies for user id 72: [2026-04-14T05:48:24.770Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T05:48:24.770Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T05:48:24.770Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T05:48:24.770Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T05:48:24.770Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T05:48:24.770Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (25104.344 ms) ====== [2026-04-14T05:48:24.770Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-14T05:48:25.523Z] GC before operation: completed in 248.780 ms, heap usage 523.517 MB -> 90.756 MB. [2026-04-14T05:48:28.874Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T05:48:33.337Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T05:48:37.717Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T05:48:41.068Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T05:48:43.589Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T05:48:46.007Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T05:48:48.418Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T05:48:49.989Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T05:48:50.748Z] 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. [2026-04-14T05:48:50.748Z] The best model improves the baseline by 14.52%. [2026-04-14T05:48:50.748Z] Top recommended movies for user id 72: [2026-04-14T05:48:50.748Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T05:48:50.748Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T05:48:50.748Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T05:48:50.748Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T05:48:50.748Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T05:48:50.748Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (25803.121 ms) ====== [2026-04-14T05:48:50.748Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-14T05:48:51.502Z] GC before operation: completed in 261.363 ms, heap usage 192.017 MB -> 90.336 MB. [2026-04-14T05:48:54.856Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T05:48:59.293Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T05:49:02.642Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T05:49:07.072Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T05:49:09.485Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T05:49:11.958Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T05:49:13.516Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T05:49:15.931Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T05:49:16.741Z] 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. [2026-04-14T05:49:16.741Z] The best model improves the baseline by 14.52%. [2026-04-14T05:49:16.741Z] Top recommended movies for user id 72: [2026-04-14T05:49:16.741Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T05:49:16.741Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T05:49:16.741Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T05:49:16.741Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T05:49:16.741Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T05:49:16.741Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (25496.243 ms) ====== [2026-04-14T05:49:16.741Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-14T05:49:16.741Z] GC before operation: completed in 243.539 ms, heap usage 597.833 MB -> 93.936 MB. [2026-04-14T05:49:21.100Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T05:49:24.590Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T05:49:28.965Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T05:49:32.360Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T05:49:34.778Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T05:49:37.204Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T05:49:39.631Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T05:49:41.183Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T05:49:41.944Z] 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. [2026-04-14T05:49:41.944Z] The best model improves the baseline by 14.52%. [2026-04-14T05:49:41.944Z] Top recommended movies for user id 72: [2026-04-14T05:49:41.944Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T05:49:41.944Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T05:49:41.944Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T05:49:41.944Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T05:49:41.944Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T05:49:41.944Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (25100.306 ms) ====== [2026-04-14T05:49:41.944Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-14T05:49:41.944Z] GC before operation: completed in 216.127 ms, heap usage 687.444 MB -> 94.183 MB. [2026-04-14T05:49:46.343Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T05:49:49.728Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T05:49:53.173Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T05:49:57.576Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T05:50:00.002Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T05:50:02.425Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T05:50:04.894Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T05:50:06.451Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T05:50:07.202Z] 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. [2026-04-14T05:50:07.202Z] The best model improves the baseline by 14.52%. [2026-04-14T05:50:07.202Z] Top recommended movies for user id 72: [2026-04-14T05:50:07.202Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T05:50:07.202Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T05:50:07.202Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T05:50:07.202Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T05:50:07.202Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T05:50:07.202Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (25169.892 ms) ====== [2026-04-14T05:50:07.953Z] ----------------------------------- [2026-04-14T05:50:07.953Z] renaissance-movie-lens_0_PASSED [2026-04-14T05:50:07.953Z] ----------------------------------- [2026-04-14T05:50:07.953Z] [2026-04-14T05:50:07.953Z] TEST TEARDOWN: [2026-04-14T05:50:07.953Z] Nothing to be done for teardown. [2026-04-14T05:50:07.953Z] renaissance-movie-lens_0 Finish Time: Tue Apr 14 05:50:07 2026 Epoch Time (ms): 1776145807782