renaissance-movie-lens_0
[2026-02-04T23:34:10.666Z] Running test renaissance-movie-lens_0 ...
[2026-02-04T23:34:10.666Z] ===============================================
[2026-02-04T23:34:10.666Z] renaissance-movie-lens_0 Start Time: Wed Feb 4 23:34:10 2026 Epoch Time (ms): 1770248050564
[2026-02-04T23:34:10.666Z] variation: NoOptions
[2026-02-04T23:34:10.666Z] JVM_OPTIONS:
[2026-02-04T23:34:10.666Z] { \
[2026-02-04T23:34:10.666Z] echo ""; echo "TEST SETUP:"; \
[2026-02-04T23:34:10.666Z] echo "Nothing to be done for setup."; \
[2026-02-04T23:34:10.666Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17702471989882/renaissance-movie-lens_0"; \
[2026-02-04T23:34:10.667Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17702471989882/renaissance-movie-lens_0"; \
[2026-02-04T23:34:10.667Z] echo ""; echo "TESTING:"; \
[2026-02-04T23:34:10.667Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_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_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17702471989882/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-04T23:34:10.667Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17702471989882/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-04T23:34:10.667Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-04T23:34:10.667Z] echo "Nothing to be done for teardown."; \
[2026-02-04T23:34:10.667Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17702471989882/TestTargetResult";
[2026-02-04T23:34:11.636Z]
[2026-02-04T23:34:11.636Z] TEST SETUP:
[2026-02-04T23:34:11.636Z] Nothing to be done for setup.
[2026-02-04T23:34:11.636Z]
[2026-02-04T23:34:11.636Z] TESTING:
[2026-02-04T23:34:15.859Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-04T23:34:23.486Z] 23:34:22.531 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.
[2026-02-04T23:34:24.457Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-04T23:34:25.425Z] Training: 60056, validation: 20285, test: 19854
[2026-02-04T23:34:25.425Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-04T23:34:25.425Z] GC before operation: completed in 147.518 ms, heap usage 463.535 MB -> 75.908 MB.
[2026-02-04T23:34:30.889Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:34:33.960Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:34:37.036Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:34:40.105Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:34:41.074Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:34:43.061Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:34:44.039Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:34:46.024Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:34:46.025Z] 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.
[2026-02-04T23:34:46.025Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:34:46.025Z] Top recommended movies for user id 72:
[2026-02-04T23:34:46.025Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:34:46.025Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:34:46.025Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:34:46.025Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:34:46.025Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:34:46.025Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (20813.970 ms) ======
[2026-02-04T23:34:46.025Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-04T23:34:46.025Z] GC before operation: completed in 134.575 ms, heap usage 202.652 MB -> 95.928 MB.
[2026-02-04T23:34:49.093Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:34:51.092Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:34:54.170Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:34:56.157Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:34:57.126Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:34:59.117Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:35:00.263Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:35:02.252Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:35:02.252Z] 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.
[2026-02-04T23:35:02.252Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:35:02.252Z] Top recommended movies for user id 72:
[2026-02-04T23:35:02.252Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:35:02.252Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:35:02.252Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:35:02.252Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:35:02.252Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:35:02.252Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16042.701 ms) ======
[2026-02-04T23:35:02.252Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-04T23:35:02.252Z] GC before operation: completed in 120.852 ms, heap usage 300.131 MB -> 88.738 MB.
[2026-02-04T23:35:05.345Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:35:07.338Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:35:10.405Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:35:12.400Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:35:14.386Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:35:15.354Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:35:17.345Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:35:18.314Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:35:20.355Z] 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.
[2026-02-04T23:35:20.355Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:35:20.355Z] Top recommended movies for user id 72:
[2026-02-04T23:35:20.355Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:35:20.355Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:35:20.355Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:35:20.355Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:35:20.355Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:35:20.355Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16688.656 ms) ======
[2026-02-04T23:35:20.355Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-04T23:35:20.355Z] GC before operation: completed in 119.985 ms, heap usage 361.024 MB -> 89.439 MB.
[2026-02-04T23:35:22.350Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:35:24.335Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:35:26.322Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:35:29.390Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:35:30.358Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:35:32.345Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:35:33.311Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:35:35.296Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:35:35.296Z] 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.
[2026-02-04T23:35:35.296Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:35:35.296Z] Top recommended movies for user id 72:
[2026-02-04T23:35:35.296Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:35:35.296Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:35:35.296Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:35:35.296Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:35:35.296Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:35:35.296Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16013.167 ms) ======
[2026-02-04T23:35:35.296Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-04T23:35:35.296Z] GC before operation: completed in 114.319 ms, heap usage 365.496 MB -> 89.857 MB.
[2026-02-04T23:35:38.359Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:35:40.347Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:35:42.331Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:35:44.319Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:35:46.306Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:35:47.272Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:35:49.258Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:35:50.227Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:35:50.227Z] 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.
[2026-02-04T23:35:51.195Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:35:51.195Z] Top recommended movies for user id 72:
[2026-02-04T23:35:51.195Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:35:51.195Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:35:51.195Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:35:51.195Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:35:51.195Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:35:51.195Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15335.268 ms) ======
[2026-02-04T23:35:51.196Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-04T23:35:51.196Z] GC before operation: completed in 118.321 ms, heap usage 193.180 MB -> 89.512 MB.
[2026-02-04T23:35:53.260Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:35:55.246Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:35:58.313Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:36:00.299Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:36:01.273Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:36:03.265Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:36:04.235Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:36:05.207Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:36:06.196Z] 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.
[2026-02-04T23:36:06.197Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:36:06.197Z] Top recommended movies for user id 72:
[2026-02-04T23:36:06.197Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:36:06.197Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:36:06.197Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:36:06.197Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:36:06.197Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:36:06.197Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14930.843 ms) ======
[2026-02-04T23:36:06.197Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-04T23:36:06.197Z] GC before operation: completed in 141.453 ms, heap usage 481.967 MB -> 90.289 MB.
[2026-02-04T23:36:08.205Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:36:11.273Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:36:13.259Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:36:15.436Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:36:17.113Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:36:18.082Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:36:20.071Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:36:21.040Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:36:21.040Z] 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.
[2026-02-04T23:36:21.040Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:36:21.040Z] Top recommended movies for user id 72:
[2026-02-04T23:36:21.040Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:36:21.040Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:36:21.040Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:36:21.040Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:36:21.040Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:36:21.040Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15368.363 ms) ======
[2026-02-04T23:36:21.040Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-04T23:36:22.008Z] GC before operation: completed in 134.976 ms, heap usage 285.929 MB -> 89.909 MB.
[2026-02-04T23:36:24.033Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:36:26.023Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:36:28.013Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:36:31.092Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:36:32.061Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:36:33.032Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:36:34.003Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:36:35.994Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:36:35.994Z] 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.
[2026-02-04T23:36:35.994Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:36:35.994Z] Top recommended movies for user id 72:
[2026-02-04T23:36:35.994Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:36:35.994Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:36:35.994Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:36:35.994Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:36:35.994Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:36:35.994Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14459.399 ms) ======
[2026-02-04T23:36:35.994Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-04T23:36:35.994Z] GC before operation: completed in 120.305 ms, heap usage 467.501 MB -> 90.390 MB.
[2026-02-04T23:36:37.984Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:36:39.986Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:36:41.972Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:36:43.961Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:36:44.961Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:36:45.931Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:36:47.922Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:36:48.890Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:36:48.890Z] 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.
[2026-02-04T23:36:48.890Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:36:48.890Z] Top recommended movies for user id 72:
[2026-02-04T23:36:48.890Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:36:48.890Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:36:48.890Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:36:48.890Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:36:48.890Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:36:48.891Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (12854.474 ms) ======
[2026-02-04T23:36:48.891Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-04T23:36:48.891Z] GC before operation: completed in 110.900 ms, heap usage 114.729 MB -> 92.497 MB.
[2026-02-04T23:36:50.878Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:36:52.895Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:36:54.882Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:36:56.892Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:36:58.886Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:36:59.854Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:37:00.836Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:37:01.815Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:37:02.787Z] 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.
[2026-02-04T23:37:02.787Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:37:02.787Z] Top recommended movies for user id 72:
[2026-02-04T23:37:02.787Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:37:02.787Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:37:02.787Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:37:02.787Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:37:02.787Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:37:02.787Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13464.675 ms) ======
[2026-02-04T23:37:02.787Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-04T23:37:02.787Z] GC before operation: completed in 114.076 ms, heap usage 423.964 MB -> 90.433 MB.
[2026-02-04T23:37:04.776Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:37:06.774Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:37:08.789Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:37:10.774Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:37:11.741Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:37:13.532Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:37:14.500Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:37:16.486Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:37:16.486Z] 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.
[2026-02-04T23:37:16.486Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:37:16.486Z] Top recommended movies for user id 72:
[2026-02-04T23:37:16.486Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:37:16.486Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:37:16.486Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:37:16.486Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:37:16.486Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:37:16.486Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14155.366 ms) ======
[2026-02-04T23:37:16.486Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-04T23:37:17.452Z] GC before operation: completed in 113.481 ms, heap usage 160.257 MB -> 89.854 MB.
[2026-02-04T23:37:19.439Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:37:21.426Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:37:23.411Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:37:25.397Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:37:27.392Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:37:28.361Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:37:29.330Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:37:31.316Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:37:31.316Z] 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.
[2026-02-04T23:37:31.316Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:37:31.316Z] Top recommended movies for user id 72:
[2026-02-04T23:37:31.316Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:37:31.316Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:37:31.316Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:37:31.316Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:37:31.316Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:37:31.316Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14644.733 ms) ======
[2026-02-04T23:37:31.316Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-04T23:37:31.316Z] GC before operation: completed in 117.634 ms, heap usage 318.377 MB -> 90.132 MB.
[2026-02-04T23:37:34.403Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:37:36.394Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:37:38.383Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:37:40.373Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:37:41.347Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:37:43.333Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:37:44.305Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:37:45.275Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:37:45.275Z] 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.
[2026-02-04T23:37:46.243Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:37:46.243Z] Top recommended movies for user id 72:
[2026-02-04T23:37:46.243Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:37:46.243Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:37:46.243Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:37:46.243Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:37:46.243Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:37:46.243Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14180.460 ms) ======
[2026-02-04T23:37:46.243Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-04T23:37:46.243Z] GC before operation: completed in 123.974 ms, heap usage 359.371 MB -> 90.369 MB.
[2026-02-04T23:37:48.231Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:37:50.217Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:37:52.232Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:37:54.217Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:37:55.185Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:37:57.185Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:37:58.153Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:37:59.125Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:38:00.093Z] 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.
[2026-02-04T23:38:00.093Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:38:00.093Z] Top recommended movies for user id 72:
[2026-02-04T23:38:00.093Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:38:00.093Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:38:00.093Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:38:00.093Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:38:00.093Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:38:00.093Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13843.193 ms) ======
[2026-02-04T23:38:00.093Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-04T23:38:00.093Z] GC before operation: completed in 136.772 ms, heap usage 496.470 MB -> 90.409 MB.
[2026-02-04T23:38:02.084Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:38:04.086Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:38:06.085Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:38:09.885Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:38:11.209Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:38:11.209Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:38:13.194Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:38:14.200Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:38:14.200Z] 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.
[2026-02-04T23:38:14.200Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:38:15.172Z] Top recommended movies for user id 72:
[2026-02-04T23:38:15.172Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:38:15.172Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:38:15.172Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:38:15.172Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:38:15.172Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:38:15.172Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14810.666 ms) ======
[2026-02-04T23:38:15.172Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-04T23:38:15.172Z] GC before operation: completed in 149.399 ms, heap usage 206.348 MB -> 90.215 MB.
[2026-02-04T23:38:17.158Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:38:19.145Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:38:22.215Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:38:24.207Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:38:25.174Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:38:27.187Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:38:28.154Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:38:30.141Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:38:30.141Z] 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.
[2026-02-04T23:38:30.141Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:38:30.141Z] Top recommended movies for user id 72:
[2026-02-04T23:38:30.141Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:38:30.141Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:38:30.141Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:38:30.141Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:38:30.141Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:38:30.141Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15181.489 ms) ======
[2026-02-04T23:38:30.141Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-04T23:38:30.141Z] GC before operation: completed in 128.153 ms, heap usage 391.635 MB -> 90.228 MB.
[2026-02-04T23:38:32.137Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:38:34.128Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:38:36.113Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:38:38.121Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:38:40.112Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:38:41.083Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:38:42.055Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:38:43.030Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:38:44.001Z] 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.
[2026-02-04T23:38:44.001Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:38:44.001Z] Top recommended movies for user id 72:
[2026-02-04T23:38:44.001Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:38:44.001Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:38:44.001Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:38:44.001Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:38:44.001Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:38:44.001Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13572.719 ms) ======
[2026-02-04T23:38:44.001Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-04T23:38:44.001Z] GC before operation: completed in 129.854 ms, heap usage 472.203 MB -> 90.568 MB.
[2026-02-04T23:38:46.017Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:38:48.037Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:38:50.042Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:38:52.098Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:38:54.090Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:38:55.121Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:38:57.105Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:38:58.197Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:38:58.197Z] 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.
[2026-02-04T23:38:58.197Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:38:58.197Z] Top recommended movies for user id 72:
[2026-02-04T23:38:58.197Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:38:58.197Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:38:58.197Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:38:58.197Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:38:58.197Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:38:58.197Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14530.599 ms) ======
[2026-02-04T23:38:58.197Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-04T23:38:58.197Z] GC before operation: completed in 116.822 ms, heap usage 469.366 MB -> 90.402 MB.
[2026-02-04T23:39:01.268Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:39:04.515Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:39:05.484Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:39:07.469Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:39:08.443Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:39:10.428Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:39:11.395Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:39:13.379Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:39:13.379Z] 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.
[2026-02-04T23:39:13.379Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:39:13.379Z] Top recommended movies for user id 72:
[2026-02-04T23:39:13.379Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:39:13.379Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:39:13.379Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:39:13.379Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:39:13.379Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:39:13.379Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14764.762 ms) ======
[2026-02-04T23:39:13.379Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-04T23:39:13.379Z] GC before operation: completed in 114.361 ms, heap usage 358.427 MB -> 90.394 MB.
[2026-02-04T23:39:15.372Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:39:17.358Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:39:19.346Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:39:21.343Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:39:23.330Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:39:24.299Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:39:25.285Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:39:26.281Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:39:27.255Z] 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.
[2026-02-04T23:39:27.255Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:39:27.255Z] Top recommended movies for user id 72:
[2026-02-04T23:39:27.255Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:39:27.255Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:39:27.255Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:39:27.255Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:39:27.255Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:39:27.255Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (13527.835 ms) ======
[2026-02-04T23:39:27.255Z] -----------------------------------
[2026-02-04T23:39:27.255Z] renaissance-movie-lens_0_PASSED
[2026-02-04T23:39:27.255Z] -----------------------------------
[2026-02-04T23:39:27.255Z]
[2026-02-04T23:39:27.255Z] TEST TEARDOWN:
[2026-02-04T23:39:27.255Z] Nothing to be done for teardown.
[2026-02-04T23:39:27.255Z] renaissance-movie-lens_0 Finish Time: Wed Feb 4 23:39:27 2026 Epoch Time (ms): 1770248367070