renaissance-movie-lens_0
[2026-04-15T11:21:31.371Z] Running test renaissance-movie-lens_0 ...
[2026-04-15T11:21:31.371Z] ===============================================
[2026-04-15T11:21:31.371Z] renaissance-movie-lens_0 Start Time: Wed Apr 15 11:21:31 2026 Epoch Time (ms): 1776252091293
[2026-04-15T11:21:31.371Z] variation: NoOptions
[2026-04-15T11:21:31.371Z] JVM_OPTIONS:
[2026-04-15T11:21:31.371Z] { \
[2026-04-15T11:21:31.371Z] echo ""; echo "TEST SETUP:"; \
[2026-04-15T11:21:31.371Z] echo "Nothing to be done for setup."; \
[2026-04-15T11:21:31.371Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_rerun/aqa-tests/TKG/../TKG/output_17762520048272/renaissance-movie-lens_0"; \
[2026-04-15T11:21:31.371Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_rerun/aqa-tests/TKG/../TKG/output_17762520048272/renaissance-movie-lens_0"; \
[2026-04-15T11:21:31.371Z] echo ""; echo "TESTING:"; \
[2026-04-15T11:21:31.371Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_rerun/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_riscv64_linux_rerun/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_rerun/aqa-tests/TKG/../TKG/output_17762520048272/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-04-15T11:21:31.371Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_rerun/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_rerun/aqa-tests/TKG/../TKG/output_17762520048272/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-04-15T11:21:31.371Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-04-15T11:21:31.371Z] echo "Nothing to be done for teardown."; \
[2026-04-15T11:21:31.371Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_rerun/aqa-tests/TKG/../TKG/output_17762520048272/TestTargetResult";
[2026-04-15T11:21:31.371Z]
[2026-04-15T11:21:31.371Z] TEST SETUP:
[2026-04-15T11:21:31.371Z] Nothing to be done for setup.
[2026-04-15T11:21:31.371Z]
[2026-04-15T11:21:31.371Z] TESTING:
[2026-04-15T11:22:00.632Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-04-15T11:22:32.618Z] 11:22:27.288 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.
[2026-04-15T11:22:48.829Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-04-15T11:22:48.829Z] Training: 60056, validation: 20285, test: 19854
[2026-04-15T11:22:48.829Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-04-15T11:22:48.829Z] GC before operation: completed in 519.586 ms, heap usage 168.431 MB -> 77.014 MB.
[2026-04-15T11:23:16.956Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-15T11:23:32.833Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-15T11:23:52.031Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-15T11:24:02.931Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-15T11:24:10.246Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-15T11:24:17.537Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-15T11:24:26.388Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-15T11:24:30.999Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-15T11:24:32.148Z] 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.
[2026-04-15T11:24:32.148Z] The best model improves the baseline by 14.52%.
[2026-04-15T11:24:33.298Z] Top recommended movies for user id 72:
[2026-04-15T11:24:33.298Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-15T11:24:33.298Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-15T11:24:33.298Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-15T11:24:33.298Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-15T11:24:33.298Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-15T11:24:33.298Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (110564.862 ms) ======
[2026-04-15T11:24:33.298Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-04-15T11:24:34.028Z] GC before operation: completed in 893.568 ms, heap usage 998.582 MB -> 100.897 MB.
[2026-04-15T11:24:47.180Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-15T11:24:58.023Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-15T11:25:06.969Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-15T11:25:17.807Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-15T11:25:22.592Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-15T11:25:28.513Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-15T11:25:34.468Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-15T11:25:40.401Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-15T11:25:41.111Z] 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.
[2026-04-15T11:25:41.111Z] The best model improves the baseline by 14.52%.
[2026-04-15T11:25:42.283Z] Top recommended movies for user id 72:
[2026-04-15T11:25:42.283Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-15T11:25:42.283Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-15T11:25:42.283Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-15T11:25:42.283Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-15T11:25:42.283Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-15T11:25:42.283Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (67841.555 ms) ======
[2026-04-15T11:25:42.283Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-04-15T11:25:43.073Z] GC before operation: completed in 911.335 ms, heap usage 184.385 MB -> 92.048 MB.
[2026-04-15T11:25:53.901Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-15T11:26:02.689Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-15T11:26:13.517Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-15T11:26:22.424Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-15T11:26:27.186Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-15T11:26:33.198Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-15T11:26:38.389Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-15T11:26:44.421Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-15T11:26:44.752Z] 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.
[2026-04-15T11:26:45.084Z] The best model improves the baseline by 14.52%.
[2026-04-15T11:26:45.868Z] Top recommended movies for user id 72:
[2026-04-15T11:26:45.868Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-15T11:26:45.868Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-15T11:26:45.868Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-15T11:26:45.868Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-15T11:26:45.868Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-15T11:26:45.868Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (62811.420 ms) ======
[2026-04-15T11:26:45.868Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-04-15T11:26:46.654Z] GC before operation: completed in 941.024 ms, heap usage 621.659 MB -> 94.282 MB.
[2026-04-15T11:26:57.493Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-15T11:27:06.434Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-15T11:27:13.744Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-15T11:27:22.675Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-15T11:27:28.667Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-15T11:27:34.610Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-15T11:27:40.542Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-15T11:27:45.316Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-15T11:27:46.025Z] 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.
[2026-04-15T11:27:46.355Z] The best model improves the baseline by 14.52%.
[2026-04-15T11:27:47.066Z] Top recommended movies for user id 72:
[2026-04-15T11:27:47.066Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-15T11:27:47.066Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-15T11:27:47.066Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-15T11:27:47.066Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-15T11:27:47.066Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-15T11:27:47.066Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (60253.303 ms) ======
[2026-04-15T11:27:47.066Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-04-15T11:27:47.797Z] GC before operation: completed in 957.306 ms, heap usage 498.441 MB -> 91.228 MB.
[2026-04-15T11:27:58.626Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-15T11:28:05.925Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-15T11:28:16.801Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-15T11:28:24.074Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-15T11:28:29.245Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-15T11:28:35.184Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-15T11:28:39.968Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-15T11:28:45.144Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-15T11:28:46.439Z] 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.
[2026-04-15T11:28:46.439Z] The best model improves the baseline by 14.52%.
[2026-04-15T11:28:46.803Z] Top recommended movies for user id 72:
[2026-04-15T11:28:46.803Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-15T11:28:46.803Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-15T11:28:46.803Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-15T11:28:46.803Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-15T11:28:46.803Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-15T11:28:46.803Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (58730.686 ms) ======
[2026-04-15T11:28:46.803Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-04-15T11:28:47.539Z] GC before operation: completed in 925.371 ms, heap usage 756.364 MB -> 94.689 MB.
[2026-04-15T11:28:58.755Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-15T11:29:06.031Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-15T11:29:14.928Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-15T11:29:22.199Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-15T11:29:28.113Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-15T11:29:32.972Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-15T11:29:37.747Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-15T11:29:42.503Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-15T11:29:43.336Z] 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.
[2026-04-15T11:29:43.664Z] The best model improves the baseline by 14.52%.
[2026-04-15T11:29:43.993Z] Top recommended movies for user id 72:
[2026-04-15T11:29:43.993Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-15T11:29:43.993Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-15T11:29:43.993Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-15T11:29:43.993Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-15T11:29:43.993Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-15T11:29:43.993Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (56595.526 ms) ======
[2026-04-15T11:29:43.993Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-04-15T11:29:45.149Z] GC before operation: completed in 986.940 ms, heap usage 767.645 MB -> 95.055 MB.
[2026-04-15T11:29:54.064Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-15T11:30:02.987Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-15T11:30:10.257Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-15T11:30:19.268Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-15T11:30:24.034Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-15T11:30:28.819Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-15T11:30:33.574Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-15T11:30:39.518Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-15T11:30:39.518Z] 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.
[2026-04-15T11:30:39.518Z] The best model improves the baseline by 14.52%.
[2026-04-15T11:30:40.271Z] Top recommended movies for user id 72:
[2026-04-15T11:30:40.271Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-15T11:30:40.271Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-15T11:30:40.271Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-15T11:30:40.271Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-15T11:30:40.271Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-15T11:30:40.271Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (55166.420 ms) ======
[2026-04-15T11:30:40.271Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-04-15T11:30:41.463Z] GC before operation: completed in 940.096 ms, heap usage 251.465 MB -> 91.079 MB.
[2026-04-15T11:30:50.403Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-15T11:30:57.745Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-15T11:31:06.966Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-15T11:31:14.250Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-15T11:31:19.014Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-15T11:31:23.784Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-15T11:31:29.752Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-15T11:31:34.517Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-15T11:31:34.846Z] 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.
[2026-04-15T11:31:34.847Z] The best model improves the baseline by 14.52%.
[2026-04-15T11:31:35.556Z] Top recommended movies for user id 72:
[2026-04-15T11:31:35.556Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-15T11:31:35.556Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-15T11:31:35.557Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-15T11:31:35.557Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-15T11:31:35.557Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-15T11:31:35.557Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (54321.092 ms) ======
[2026-04-15T11:31:35.557Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-04-15T11:31:36.746Z] GC before operation: completed in 1000.854 ms, heap usage 830.506 MB -> 95.567 MB.
[2026-04-15T11:31:46.695Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-15T11:31:53.976Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-15T11:32:01.319Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-15T11:32:08.640Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-15T11:32:13.419Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-15T11:32:19.337Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-15T11:32:24.145Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-15T11:32:28.908Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-15T11:32:29.246Z] 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.
[2026-04-15T11:32:29.246Z] The best model improves the baseline by 14.52%.
[2026-04-15T11:32:29.957Z] Top recommended movies for user id 72:
[2026-04-15T11:32:29.957Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-15T11:32:29.957Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-15T11:32:29.957Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-15T11:32:29.957Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-15T11:32:29.957Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-15T11:32:29.957Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (53443.231 ms) ======
[2026-04-15T11:32:29.957Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-04-15T11:32:31.147Z] GC before operation: completed in 985.248 ms, heap usage 444.208 MB -> 91.551 MB.
[2026-04-15T11:32:42.054Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-15T11:32:51.024Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-15T11:32:58.300Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-15T11:33:05.586Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-15T11:33:10.539Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-15T11:33:15.336Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-15T11:33:21.261Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-15T11:33:25.050Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-15T11:33:26.198Z] 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.
[2026-04-15T11:33:26.198Z] The best model improves the baseline by 14.52%.
[2026-04-15T11:33:26.909Z] Top recommended movies for user id 72:
[2026-04-15T11:33:26.909Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-15T11:33:26.909Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-15T11:33:26.909Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-15T11:33:26.909Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-15T11:33:26.909Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-15T11:33:26.909Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (55764.713 ms) ======
[2026-04-15T11:33:26.909Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-04-15T11:33:27.628Z] GC before operation: completed in 1007.848 ms, heap usage 547.560 MB -> 95.176 MB.
[2026-04-15T11:33:38.492Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-15T11:33:45.769Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-15T11:33:54.665Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-15T11:34:01.988Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-15T11:34:06.765Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-15T11:34:12.569Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-15T11:34:17.576Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-15T11:34:21.412Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-15T11:34:21.742Z] 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.
[2026-04-15T11:34:21.742Z] The best model improves the baseline by 14.52%.
[2026-04-15T11:34:23.803Z] Top recommended movies for user id 72:
[2026-04-15T11:34:23.803Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-15T11:34:23.803Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-15T11:34:23.803Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-15T11:34:23.803Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-15T11:34:23.803Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-15T11:34:23.803Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (54690.787 ms) ======
[2026-04-15T11:34:23.803Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-04-15T11:34:23.803Z] GC before operation: completed in 993.948 ms, heap usage 877.560 MB -> 95.694 MB.
[2026-04-15T11:34:31.914Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-15T11:34:39.424Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-15T11:34:53.355Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-15T11:34:58.463Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-15T11:35:10.475Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-15T11:35:10.475Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-15T11:35:10.903Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-15T11:35:14.363Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-15T11:35:15.069Z] 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.
[2026-04-15T11:35:15.608Z] The best model improves the baseline by 14.52%.
[2026-04-15T11:35:15.945Z] Top recommended movies for user id 72:
[2026-04-15T11:35:15.945Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-15T11:35:15.945Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-15T11:35:15.945Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-15T11:35:15.945Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-15T11:35:15.945Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-15T11:35:15.945Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (52393.481 ms) ======
[2026-04-15T11:35:15.945Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-04-15T11:35:16.675Z] GC before operation: completed in 986.052 ms, heap usage 1016.635 MB -> 96.368 MB.
[2026-04-15T11:35:25.595Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-15T11:35:32.971Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-15T11:35:43.806Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-15T11:35:51.085Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-15T11:35:56.795Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-15T11:36:02.949Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-15T11:36:08.860Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-15T11:36:13.697Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-15T11:36:14.406Z] 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.
[2026-04-15T11:36:14.737Z] The best model improves the baseline by 14.52%.
[2026-04-15T11:36:15.465Z] Top recommended movies for user id 72:
[2026-04-15T11:36:15.465Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-15T11:36:15.465Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-15T11:36:15.465Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-15T11:36:15.465Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-15T11:36:15.465Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-15T11:36:15.465Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (58460.048 ms) ======
[2026-04-15T11:36:15.465Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-04-15T11:36:16.200Z] GC before operation: completed in 967.078 ms, heap usage 150.582 MB -> 94.723 MB.
[2026-04-15T11:36:27.198Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-15T11:36:38.049Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-15T11:36:45.333Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-15T11:36:54.252Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-15T11:36:58.043Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-15T11:37:02.855Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-15T11:37:08.773Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-15T11:37:13.909Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-15T11:37:14.241Z] 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.
[2026-04-15T11:37:14.571Z] The best model improves the baseline by 14.52%.
[2026-04-15T11:37:14.902Z] Top recommended movies for user id 72:
[2026-04-15T11:37:14.902Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-15T11:37:14.902Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-15T11:37:14.902Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-15T11:37:14.902Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-15T11:37:14.902Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-15T11:37:14.902Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (58788.012 ms) ======
[2026-04-15T11:37:14.902Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-04-15T11:37:16.072Z] GC before operation: completed in 968.128 ms, heap usage 604.195 MB -> 95.085 MB.
[2026-04-15T11:37:27.207Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-15T11:37:38.068Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-15T11:37:45.369Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-15T11:37:54.309Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-15T11:37:58.107Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-15T11:38:03.073Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-15T11:38:07.841Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-15T11:38:12.604Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-15T11:38:13.763Z] 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.
[2026-04-15T11:38:14.092Z] The best model improves the baseline by 14.52%.
[2026-04-15T11:38:14.821Z] Top recommended movies for user id 72:
[2026-04-15T11:38:14.821Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-15T11:38:14.821Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-15T11:38:14.821Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-15T11:38:14.821Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-15T11:38:14.821Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-15T11:38:14.821Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (58580.540 ms) ======
[2026-04-15T11:38:14.821Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-04-15T11:38:15.552Z] GC before operation: completed in 955.631 ms, heap usage 453.392 MB -> 91.843 MB.
[2026-04-15T11:38:24.602Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-15T11:38:32.509Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-15T11:38:43.756Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-15T11:38:52.660Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-15T11:38:57.664Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-15T11:39:02.439Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-15T11:39:08.361Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-15T11:39:13.119Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-15T11:39:14.270Z] 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.
[2026-04-15T11:39:14.270Z] The best model improves the baseline by 14.52%.
[2026-04-15T11:39:14.994Z] Top recommended movies for user id 72:
[2026-04-15T11:39:14.994Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-15T11:39:14.994Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-15T11:39:14.994Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-15T11:39:14.994Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-15T11:39:14.994Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-15T11:39:14.994Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (59257.251 ms) ======
[2026-04-15T11:39:14.994Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-04-15T11:39:15.736Z] GC before operation: completed in 981.564 ms, heap usage 645.561 MB -> 95.200 MB.
[2026-04-15T11:39:26.610Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-15T11:39:38.021Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-15T11:39:45.304Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-15T11:39:52.590Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-15T11:39:58.500Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-15T11:40:03.269Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-15T11:40:09.229Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-15T11:40:14.022Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-15T11:40:14.732Z] 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.
[2026-04-15T11:40:14.732Z] The best model improves the baseline by 14.52%.
[2026-04-15T11:40:15.443Z] Top recommended movies for user id 72:
[2026-04-15T11:40:15.443Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-15T11:40:15.443Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-15T11:40:15.443Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-15T11:40:15.443Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-15T11:40:15.444Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-15T11:40:15.444Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (59595.400 ms) ======
[2026-04-15T11:40:15.444Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-04-15T11:40:16.621Z] GC before operation: completed in 994.592 ms, heap usage 384.692 MB -> 95.091 MB.
[2026-04-15T11:40:28.256Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-15T11:40:37.700Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-15T11:40:46.113Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-15T11:40:53.356Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-15T11:40:59.346Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-15T11:41:03.135Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-15T11:41:08.660Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-15T11:41:13.105Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-15T11:41:14.503Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-15T11:41:14.503Z] The best model improves the baseline by 14.52%.
[2026-04-15T11:41:14.848Z] Top recommended movies for user id 72:
[2026-04-15T11:41:14.848Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-15T11:41:14.848Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-15T11:41:14.848Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-15T11:41:14.848Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-15T11:41:14.848Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-15T11:41:14.848Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (58604.507 ms) ======
[2026-04-15T11:41:14.848Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-04-15T11:41:15.882Z] GC before operation: completed in 988.553 ms, heap usage 1.304 GB -> 102.596 MB.
[2026-04-15T11:41:24.737Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-15T11:41:33.088Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-15T11:41:40.079Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-15T11:41:47.375Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-15T11:41:52.159Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-15T11:41:57.489Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-15T11:42:02.325Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-15T11:42:07.105Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-15T11:42:07.838Z] 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.
[2026-04-15T11:42:07.838Z] The best model improves the baseline by 14.52%.
[2026-04-15T11:42:08.560Z] Top recommended movies for user id 72:
[2026-04-15T11:42:08.560Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-15T11:42:08.560Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-15T11:42:08.560Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-15T11:42:08.560Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-15T11:42:08.560Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-15T11:42:08.560Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (52560.171 ms) ======
[2026-04-15T11:42:08.560Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-04-15T11:42:09.751Z] GC before operation: completed in 1003.581 ms, heap usage 826.721 MB -> 95.599 MB.
[2026-04-15T11:42:18.661Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-15T11:42:25.958Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-15T11:42:34.875Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-15T11:42:41.809Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-15T11:42:46.612Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-15T11:42:51.430Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-15T11:42:56.196Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-15T11:43:00.961Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-15T11:43:01.291Z] 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.
[2026-04-15T11:43:01.291Z] The best model improves the baseline by 14.52%.
[2026-04-15T11:43:02.013Z] Top recommended movies for user id 72:
[2026-04-15T11:43:02.013Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-15T11:43:02.013Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-15T11:43:02.013Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-15T11:43:02.013Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-15T11:43:02.013Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-15T11:43:02.013Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (52360.546 ms) ======
[2026-04-15T11:43:05.867Z] -----------------------------------
[2026-04-15T11:43:05.867Z] renaissance-movie-lens_0_PASSED
[2026-04-15T11:43:05.867Z] -----------------------------------
[2026-04-15T11:43:05.867Z]
[2026-04-15T11:43:05.867Z] TEST TEARDOWN:
[2026-04-15T11:43:05.867Z] Nothing to be done for teardown.
[2026-04-15T11:43:05.867Z] renaissance-movie-lens_0 Finish Time: Wed Apr 15 11:43:05 2026 Epoch Time (ms): 1776253385189