renaissance-movie-lens_0
[2026-02-12T05:43:10.350Z] Running test renaissance-movie-lens_0 ...
[2026-02-12T05:43:10.350Z] ===============================================
[2026-02-12T05:43:10.750Z] renaissance-movie-lens_0 Start Time: Thu Feb 12 05:43:10 2026 Epoch Time (ms): 1770874990343
[2026-02-12T05:43:10.751Z] variation: NoOptions
[2026-02-12T05:43:10.751Z] JVM_OPTIONS:
[2026-02-12T05:43:10.751Z] { \
[2026-02-12T05:43:10.751Z] echo ""; echo "TEST SETUP:"; \
[2026-02-12T05:43:10.751Z] echo "Nothing to be done for setup."; \
[2026-02-12T05:43:10.751Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17708741841775/renaissance-movie-lens_0"; \
[2026-02-12T05:43:10.751Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17708741841775/renaissance-movie-lens_0"; \
[2026-02-12T05:43:10.751Z] echo ""; echo "TESTING:"; \
[2026-02-12T05:43:10.751Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17708741841775/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-12T05:43:10.751Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17708741841775/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-12T05:43:10.751Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-12T05:43:10.751Z] echo "Nothing to be done for teardown."; \
[2026-02-12T05:43:10.751Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17708741841775/TestTargetResult";
[2026-02-12T05:43:10.751Z]
[2026-02-12T05:43:10.751Z] TEST SETUP:
[2026-02-12T05:43:10.751Z] Nothing to be done for setup.
[2026-02-12T05:43:10.751Z]
[2026-02-12T05:43:10.751Z] TESTING:
[2026-02-12T05:43:15.512Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-12T05:43:21.426Z] 05:43:20.854 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-12T05:43:23.686Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-12T05:43:24.019Z] Training: 60056, validation: 20285, test: 19854
[2026-02-12T05:43:24.019Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-12T05:43:24.349Z] GC before operation: completed in 161.841 ms, heap usage 460.623 MB -> 75.833 MB.
[2026-02-12T05:43:30.289Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T05:43:34.090Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T05:43:37.046Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T05:43:39.315Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T05:43:40.986Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T05:43:42.656Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T05:43:44.321Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T05:43:45.500Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T05:43:45.894Z] 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.
[2026-02-12T05:43:45.894Z] The best model improves the baseline by 14.52%.
[2026-02-12T05:43:45.894Z] Top recommended movies for user id 72:
[2026-02-12T05:43:45.894Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T05:43:45.894Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T05:43:45.894Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T05:43:45.894Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T05:43:45.894Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T05:43:45.894Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21861.491 ms) ======
[2026-02-12T05:43:45.894Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-12T05:43:46.225Z] GC before operation: completed in 217.179 ms, heap usage 466.307 MB -> 93.437 MB.
[2026-02-12T05:43:49.193Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T05:43:51.457Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T05:43:53.722Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T05:43:55.992Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T05:43:57.146Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T05:43:58.808Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T05:43:59.963Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T05:44:01.630Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T05:44:01.630Z] 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.
[2026-02-12T05:44:01.630Z] The best model improves the baseline by 14.52%.
[2026-02-12T05:44:01.960Z] Top recommended movies for user id 72:
[2026-02-12T05:44:01.960Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T05:44:01.960Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T05:44:01.960Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T05:44:01.960Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T05:44:01.960Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T05:44:01.960Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (15546.924 ms) ======
[2026-02-12T05:44:01.960Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-12T05:44:01.960Z] GC before operation: completed in 156.517 ms, heap usage 647.153 MB -> 92.433 MB.
[2026-02-12T05:44:04.222Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T05:44:06.479Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T05:44:08.745Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T05:44:11.008Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T05:44:12.157Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T05:44:13.307Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T05:44:14.969Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T05:44:16.122Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T05:44:16.451Z] 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.
[2026-02-12T05:44:16.451Z] The best model improves the baseline by 14.52%.
[2026-02-12T05:44:16.451Z] Top recommended movies for user id 72:
[2026-02-12T05:44:16.451Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T05:44:16.451Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T05:44:16.451Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T05:44:16.451Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T05:44:16.451Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T05:44:16.451Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (14549.365 ms) ======
[2026-02-12T05:44:16.451Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-12T05:44:16.782Z] GC before operation: completed in 139.351 ms, heap usage 258.018 MB -> 89.394 MB.
[2026-02-12T05:44:19.042Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T05:44:20.844Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T05:44:23.112Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T05:44:25.370Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T05:44:26.526Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T05:44:27.672Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T05:44:28.825Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T05:44:29.987Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T05:44:30.329Z] 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.
[2026-02-12T05:44:30.329Z] The best model improves the baseline by 14.52%.
[2026-02-12T05:44:30.329Z] Top recommended movies for user id 72:
[2026-02-12T05:44:30.329Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T05:44:30.329Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T05:44:30.329Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T05:44:30.329Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T05:44:30.329Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T05:44:30.330Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (13735.702 ms) ======
[2026-02-12T05:44:30.330Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-12T05:44:30.660Z] GC before operation: completed in 146.482 ms, heap usage 256.735 MB -> 89.688 MB.
[2026-02-12T05:44:32.924Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T05:44:34.605Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T05:44:36.880Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T05:44:38.545Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T05:44:40.220Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T05:44:41.427Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T05:44:42.575Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T05:44:43.727Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T05:44:44.058Z] 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.
[2026-02-12T05:44:44.058Z] The best model improves the baseline by 14.52%.
[2026-02-12T05:44:44.058Z] Top recommended movies for user id 72:
[2026-02-12T05:44:44.059Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T05:44:44.059Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T05:44:44.059Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T05:44:44.059Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T05:44:44.059Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T05:44:44.059Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (13515.750 ms) ======
[2026-02-12T05:44:44.059Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-12T05:44:44.059Z] GC before operation: completed in 129.272 ms, heap usage 566.970 MB -> 93.230 MB.
[2026-02-12T05:44:46.362Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T05:44:48.629Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T05:44:50.388Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T05:44:52.643Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T05:44:53.350Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T05:44:54.500Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T05:44:56.158Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T05:44:57.307Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T05:44:57.307Z] 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.
[2026-02-12T05:44:57.307Z] The best model improves the baseline by 14.52%.
[2026-02-12T05:44:57.307Z] Top recommended movies for user id 72:
[2026-02-12T05:44:57.307Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T05:44:57.307Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T05:44:57.307Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T05:44:57.307Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T05:44:57.307Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T05:44:57.307Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (13207.196 ms) ======
[2026-02-12T05:44:57.307Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-12T05:44:57.643Z] GC before operation: completed in 124.761 ms, heap usage 527.831 MB -> 90.413 MB.
[2026-02-12T05:44:59.313Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T05:45:01.567Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T05:45:03.229Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T05:45:05.493Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T05:45:06.639Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T05:45:07.785Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T05:45:08.933Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T05:45:10.084Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T05:45:10.414Z] 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.
[2026-02-12T05:45:10.414Z] The best model improves the baseline by 14.52%.
[2026-02-12T05:45:10.414Z] Top recommended movies for user id 72:
[2026-02-12T05:45:10.414Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T05:45:10.414Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T05:45:10.414Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T05:45:10.414Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T05:45:10.414Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T05:45:10.414Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (12939.733 ms) ======
[2026-02-12T05:45:10.414Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-12T05:45:10.742Z] GC before operation: completed in 111.295 ms, heap usage 107.215 MB -> 93.243 MB.
[2026-02-12T05:45:13.015Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T05:45:14.679Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T05:45:16.934Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T05:45:19.193Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T05:45:19.903Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T05:45:21.648Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T05:45:22.798Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T05:45:23.954Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T05:45:24.284Z] 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.
[2026-02-12T05:45:24.284Z] The best model improves the baseline by 14.52%.
[2026-02-12T05:45:24.284Z] Top recommended movies for user id 72:
[2026-02-12T05:45:24.284Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T05:45:24.284Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T05:45:24.284Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T05:45:24.284Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T05:45:24.284Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T05:45:24.284Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13778.779 ms) ======
[2026-02-12T05:45:24.284Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-12T05:45:24.612Z] GC before operation: completed in 105.202 ms, heap usage 155.293 MB -> 89.947 MB.
[2026-02-12T05:45:26.869Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T05:45:28.548Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T05:45:30.808Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T05:45:32.472Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T05:45:34.135Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T05:45:35.287Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T05:45:36.439Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T05:45:38.109Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T05:45:38.109Z] 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.
[2026-02-12T05:45:38.109Z] The best model improves the baseline by 14.52%.
[2026-02-12T05:45:38.109Z] Top recommended movies for user id 72:
[2026-02-12T05:45:38.109Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T05:45:38.109Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T05:45:38.109Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T05:45:38.109Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T05:45:38.109Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T05:45:38.109Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (13764.475 ms) ======
[2026-02-12T05:45:38.109Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-12T05:45:38.439Z] GC before operation: completed in 116.456 ms, heap usage 98.670 MB -> 89.950 MB.
[2026-02-12T05:45:40.701Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T05:45:42.363Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T05:45:44.633Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T05:45:46.896Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T05:45:48.052Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T05:45:49.207Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T05:45:50.362Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T05:45:51.592Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T05:45:51.942Z] 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.
[2026-02-12T05:45:51.942Z] The best model improves the baseline by 14.52%.
[2026-02-12T05:45:51.942Z] Top recommended movies for user id 72:
[2026-02-12T05:45:51.942Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T05:45:51.942Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T05:45:51.942Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T05:45:51.942Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T05:45:51.942Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T05:45:51.942Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13749.081 ms) ======
[2026-02-12T05:45:51.942Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-12T05:45:52.273Z] GC before operation: completed in 87.200 ms, heap usage 103.287 MB -> 90.056 MB.
[2026-02-12T05:45:53.938Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T05:45:56.206Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T05:45:58.471Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T05:46:00.134Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T05:46:01.287Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T05:46:02.442Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T05:46:04.101Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T05:46:05.253Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T05:46:05.253Z] 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.
[2026-02-12T05:46:05.253Z] The best model improves the baseline by 14.52%.
[2026-02-12T05:46:05.583Z] Top recommended movies for user id 72:
[2026-02-12T05:46:05.583Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T05:46:05.583Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T05:46:05.583Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T05:46:05.583Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T05:46:05.583Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T05:46:05.583Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13242.372 ms) ======
[2026-02-12T05:46:05.583Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-12T05:46:05.583Z] GC before operation: completed in 108.358 ms, heap usage 421.366 MB -> 90.212 MB.
[2026-02-12T05:46:07.857Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T05:46:09.520Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T05:46:11.779Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T05:46:13.443Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T05:46:15.106Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T05:46:15.816Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T05:46:17.482Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T05:46:18.633Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T05:46:18.633Z] 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.
[2026-02-12T05:46:18.633Z] The best model improves the baseline by 14.52%.
[2026-02-12T05:46:18.963Z] Top recommended movies for user id 72:
[2026-02-12T05:46:18.963Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T05:46:18.963Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T05:46:18.963Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T05:46:18.963Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T05:46:18.963Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T05:46:18.964Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (13288.450 ms) ======
[2026-02-12T05:46:18.964Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-12T05:46:18.964Z] GC before operation: completed in 114.952 ms, heap usage 397.503 MB -> 90.554 MB.
[2026-02-12T05:46:21.225Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T05:46:22.956Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T05:46:25.221Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T05:46:26.890Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T05:46:28.575Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T05:46:29.728Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T05:46:30.881Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T05:46:32.036Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T05:46:32.374Z] 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.
[2026-02-12T05:46:32.374Z] The best model improves the baseline by 14.52%.
[2026-02-12T05:46:32.374Z] Top recommended movies for user id 72:
[2026-02-12T05:46:32.374Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T05:46:32.374Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T05:46:32.374Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T05:46:32.374Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T05:46:32.374Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T05:46:32.374Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (13443.622 ms) ======
[2026-02-12T05:46:32.374Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-12T05:46:32.374Z] GC before operation: completed in 94.689 ms, heap usage 198.124 MB -> 90.267 MB.
[2026-02-12T05:46:34.636Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T05:46:36.295Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T05:46:38.558Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T05:46:40.234Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T05:46:41.387Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T05:46:42.537Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T05:46:43.690Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T05:46:44.402Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T05:46:44.735Z] 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.
[2026-02-12T05:46:44.735Z] The best model improves the baseline by 14.52%.
[2026-02-12T05:46:44.735Z] Top recommended movies for user id 72:
[2026-02-12T05:46:44.735Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T05:46:44.735Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T05:46:44.735Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T05:46:44.735Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T05:46:44.735Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T05:46:44.735Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (12413.178 ms) ======
[2026-02-12T05:46:44.735Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-12T05:46:45.070Z] GC before operation: completed in 123.435 ms, heap usage 224.403 MB -> 90.127 MB.
[2026-02-12T05:46:47.332Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T05:46:48.997Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T05:46:50.662Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T05:46:52.328Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T05:46:53.558Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T05:46:54.724Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T05:46:55.879Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T05:46:57.034Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T05:46:57.034Z] 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.
[2026-02-12T05:46:57.034Z] The best model improves the baseline by 14.52%.
[2026-02-12T05:46:57.364Z] Top recommended movies for user id 72:
[2026-02-12T05:46:57.364Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T05:46:57.364Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T05:46:57.364Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T05:46:57.364Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T05:46:57.364Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T05:46:57.364Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (12249.144 ms) ======
[2026-02-12T05:46:57.364Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-12T05:46:57.364Z] GC before operation: completed in 120.701 ms, heap usage 220.756 MB -> 90.503 MB.
[2026-02-12T05:46:59.626Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T05:47:01.286Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T05:47:02.948Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T05:47:04.610Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T05:47:05.759Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T05:47:06.910Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T05:47:08.059Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T05:47:09.208Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T05:47:09.208Z] 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.
[2026-02-12T05:47:09.208Z] The best model improves the baseline by 14.52%.
[2026-02-12T05:47:09.539Z] Top recommended movies for user id 72:
[2026-02-12T05:47:09.539Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T05:47:09.539Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T05:47:09.539Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T05:47:09.539Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T05:47:09.539Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T05:47:09.539Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (12115.940 ms) ======
[2026-02-12T05:47:09.539Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-12T05:47:09.539Z] GC before operation: completed in 95.382 ms, heap usage 131.522 MB -> 90.403 MB.
[2026-02-12T05:47:11.818Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T05:47:13.478Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T05:47:15.742Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T05:47:17.414Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T05:47:19.078Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T05:47:20.232Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T05:47:21.386Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T05:47:22.539Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T05:47:22.929Z] 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.
[2026-02-12T05:47:22.929Z] The best model improves the baseline by 14.52%.
[2026-02-12T05:47:22.929Z] Top recommended movies for user id 72:
[2026-02-12T05:47:22.929Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T05:47:22.929Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T05:47:22.929Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T05:47:22.929Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T05:47:22.929Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T05:47:22.929Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13269.277 ms) ======
[2026-02-12T05:47:22.929Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-12T05:47:22.929Z] GC before operation: completed in 106.212 ms, heap usage 562.464 MB -> 93.963 MB.
[2026-02-12T05:47:25.195Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T05:47:26.860Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T05:47:29.125Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T05:47:30.788Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T05:47:31.939Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T05:47:33.603Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T05:47:34.753Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T05:47:35.901Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T05:47:35.902Z] 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.
[2026-02-12T05:47:35.902Z] The best model improves the baseline by 14.52%.
[2026-02-12T05:47:36.232Z] Top recommended movies for user id 72:
[2026-02-12T05:47:36.232Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T05:47:36.232Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T05:47:36.232Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T05:47:36.232Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T05:47:36.232Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T05:47:36.232Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13118.572 ms) ======
[2026-02-12T05:47:36.232Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-12T05:47:36.232Z] GC before operation: completed in 93.875 ms, heap usage 402.574 MB -> 90.389 MB.
[2026-02-12T05:47:38.494Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T05:47:40.161Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T05:47:42.439Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T05:47:44.105Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T05:47:45.255Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T05:47:46.410Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T05:47:48.146Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T05:47:49.308Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T05:47:49.308Z] 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.
[2026-02-12T05:47:49.308Z] The best model improves the baseline by 14.52%.
[2026-02-12T05:47:49.308Z] Top recommended movies for user id 72:
[2026-02-12T05:47:49.308Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T05:47:49.308Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T05:47:49.308Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T05:47:49.308Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T05:47:49.308Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T05:47:49.308Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (13271.688 ms) ======
[2026-02-12T05:47:49.308Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-12T05:47:49.639Z] GC before operation: completed in 106.038 ms, heap usage 411.917 MB -> 90.531 MB.
[2026-02-12T05:47:51.309Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T05:47:53.570Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T05:47:55.233Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T05:47:56.912Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T05:47:58.576Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T05:47:59.733Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T05:48:00.882Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T05:48:02.035Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T05:48:02.364Z] 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.
[2026-02-12T05:48:02.364Z] The best model improves the baseline by 14.52%.
[2026-02-12T05:48:02.364Z] Top recommended movies for user id 72:
[2026-02-12T05:48:02.364Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T05:48:02.364Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T05:48:02.364Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T05:48:02.364Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T05:48:02.364Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T05:48:02.364Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12815.957 ms) ======
[2026-02-12T05:48:03.074Z] -----------------------------------
[2026-02-12T05:48:03.074Z] renaissance-movie-lens_0_PASSED
[2026-02-12T05:48:03.074Z] -----------------------------------
[2026-02-12T05:48:03.074Z]
[2026-02-12T05:48:03.074Z] TEST TEARDOWN:
[2026-02-12T05:48:03.074Z] Nothing to be done for teardown.
[2026-02-12T05:48:03.404Z] renaissance-movie-lens_0 Finish Time: Thu Feb 12 05:48:03 2026 Epoch Time (ms): 1770875283066