renaissance-movie-lens_0
[2026-02-12T19:52:16.873Z] Running test renaissance-movie-lens_0 ...
[2026-02-12T19:52:16.873Z] ===============================================
[2026-02-12T19:52:16.873Z] renaissance-movie-lens_0 Start Time: Thu Feb 12 19:52:15 2026 Epoch Time (ms): 1770925935365
[2026-02-12T19:52:16.873Z] variation: NoOptions
[2026-02-12T19:52:16.873Z] JVM_OPTIONS:
[2026-02-12T19:52:16.873Z] { \
[2026-02-12T19:52:16.873Z] echo ""; echo "TEST SETUP:"; \
[2026-02-12T19:52:16.873Z] echo "Nothing to be done for setup."; \
[2026-02-12T19:52:16.873Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17709246872179/renaissance-movie-lens_0"; \
[2026-02-12T19:52:16.873Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17709246872179/renaissance-movie-lens_0"; \
[2026-02-12T19:52:16.873Z] echo ""; echo "TESTING:"; \
[2026-02-12T19:52:16.873Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17709246872179/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-12T19:52:16.873Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17709246872179/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-12T19:52:16.873Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-12T19:52:16.873Z] echo "Nothing to be done for teardown."; \
[2026-02-12T19:52:16.873Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17709246872179/TestTargetResult";
[2026-02-12T19:52:16.873Z]
[2026-02-12T19:52:16.873Z] TEST SETUP:
[2026-02-12T19:52:16.873Z] Nothing to be done for setup.
[2026-02-12T19:52:16.873Z]
[2026-02-12T19:52:16.873Z] TESTING:
[2026-02-12T19:52:23.020Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-12T19:52:34.228Z] 19:52:32.556 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-12T19:52:36.694Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-12T19:52:37.096Z] Training: 60056, validation: 20285, test: 19854
[2026-02-12T19:52:37.096Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-12T19:52:37.096Z] GC before operation: completed in 106.631 ms, heap usage 162.232 MB -> 75.610 MB.
[2026-02-12T19:52:46.739Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T19:52:51.834Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T19:52:56.932Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T19:53:00.992Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T19:53:02.801Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T19:53:05.230Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T19:53:07.738Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T19:53:09.534Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T19:53:09.901Z] 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.
[2026-02-12T19:53:09.901Z] The best model improves the baseline by 14.52%.
[2026-02-12T19:53:10.264Z] Top recommended movies for user id 72:
[2026-02-12T19:53:10.264Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T19:53:10.264Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T19:53:10.264Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T19:53:10.264Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T19:53:10.264Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T19:53:10.264Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (33049.485 ms) ======
[2026-02-12T19:53:10.265Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-12T19:53:10.265Z] GC before operation: completed in 130.871 ms, heap usage 288.579 MB -> 90.680 MB.
[2026-02-12T19:53:14.391Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T19:53:17.576Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T19:53:21.571Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T19:53:24.789Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T19:53:26.562Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T19:53:29.041Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T19:53:30.864Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T19:53:32.714Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T19:53:33.084Z] 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.
[2026-02-12T19:53:33.084Z] The best model improves the baseline by 14.52%.
[2026-02-12T19:53:33.440Z] Top recommended movies for user id 72:
[2026-02-12T19:53:33.440Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T19:53:33.440Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T19:53:33.440Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T19:53:33.440Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T19:53:33.440Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T19:53:33.440Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23005.735 ms) ======
[2026-02-12T19:53:33.440Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-12T19:53:33.440Z] GC before operation: completed in 129.291 ms, heap usage 387.960 MB -> 89.981 MB.
[2026-02-12T19:53:37.468Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T19:53:42.544Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T19:53:45.934Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T19:53:49.085Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T19:53:50.872Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T19:53:53.321Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T19:53:55.145Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T19:53:56.948Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T19:53:57.349Z] 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.
[2026-02-12T19:53:57.349Z] The best model improves the baseline by 14.52%.
[2026-02-12T19:53:57.349Z] Top recommended movies for user id 72:
[2026-02-12T19:53:57.349Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T19:53:57.349Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T19:53:57.349Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T19:53:57.349Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T19:53:57.349Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T19:53:57.349Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (23913.627 ms) ======
[2026-02-12T19:53:57.349Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-12T19:53:57.710Z] GC before operation: completed in 133.250 ms, heap usage 835.540 MB -> 94.841 MB.
[2026-02-12T19:54:01.752Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T19:54:04.201Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T19:54:07.403Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T19:54:10.556Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T19:54:13.132Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T19:54:14.938Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T19:54:16.753Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T19:54:18.550Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T19:54:18.905Z] 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.
[2026-02-12T19:54:18.905Z] The best model improves the baseline by 14.52%.
[2026-02-12T19:54:19.264Z] Top recommended movies for user id 72:
[2026-02-12T19:54:19.264Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T19:54:19.264Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T19:54:19.264Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T19:54:19.264Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T19:54:19.264Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T19:54:19.264Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21633.996 ms) ======
[2026-02-12T19:54:19.264Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-12T19:54:19.264Z] GC before operation: completed in 142.033 ms, heap usage 275.066 MB -> 95.365 MB.
[2026-02-12T19:54:23.300Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T19:54:26.509Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T19:54:29.658Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T19:54:32.881Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T19:54:34.720Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T19:54:36.505Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T19:54:38.933Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T19:54:40.774Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T19:54:40.774Z] 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.
[2026-02-12T19:54:40.774Z] The best model improves the baseline by 14.52%.
[2026-02-12T19:54:41.127Z] Top recommended movies for user id 72:
[2026-02-12T19:54:41.127Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T19:54:41.127Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T19:54:41.127Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T19:54:41.127Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T19:54:41.127Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T19:54:41.127Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21740.102 ms) ======
[2026-02-12T19:54:41.127Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-12T19:54:41.127Z] GC before operation: completed in 135.723 ms, heap usage 213.257 MB -> 93.158 MB.
[2026-02-12T19:54:44.380Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T19:54:47.620Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T19:54:50.808Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T19:54:53.954Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T19:54:55.239Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T19:54:57.042Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T19:54:59.019Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T19:55:00.818Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T19:55:01.198Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-12T19:55:01.198Z] The best model improves the baseline by 14.52%.
[2026-02-12T19:55:01.198Z] Top recommended movies for user id 72:
[2026-02-12T19:55:01.198Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T19:55:01.198Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T19:55:01.198Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T19:55:01.198Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T19:55:01.198Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T19:55:01.198Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20058.423 ms) ======
[2026-02-12T19:55:01.198Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-12T19:55:01.559Z] GC before operation: completed in 132.076 ms, heap usage 235.310 MB -> 91.993 MB.
[2026-02-12T19:55:04.713Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T19:55:07.186Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T19:55:10.385Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T19:55:12.815Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T19:55:14.620Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T19:55:16.424Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T19:55:18.273Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T19:55:20.070Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T19:55:20.070Z] 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.
[2026-02-12T19:55:20.070Z] The best model improves the baseline by 14.52%.
[2026-02-12T19:55:20.429Z] Top recommended movies for user id 72:
[2026-02-12T19:55:20.429Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T19:55:20.429Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T19:55:20.429Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T19:55:20.429Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T19:55:20.429Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T19:55:20.429Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18916.069 ms) ======
[2026-02-12T19:55:20.429Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-12T19:55:20.429Z] GC before operation: completed in 131.457 ms, heap usage 601.575 MB -> 93.515 MB.
[2026-02-12T19:55:23.677Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T19:55:26.159Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T19:55:29.327Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T19:55:31.774Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T19:55:33.584Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T19:55:35.494Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T19:55:37.272Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T19:55:39.116Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T19:55:39.116Z] 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.
[2026-02-12T19:55:39.116Z] The best model improves the baseline by 14.52%.
[2026-02-12T19:55:39.471Z] Top recommended movies for user id 72:
[2026-02-12T19:55:39.471Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T19:55:39.471Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T19:55:39.471Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T19:55:39.471Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T19:55:39.471Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T19:55:39.471Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18967.253 ms) ======
[2026-02-12T19:55:39.471Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-12T19:55:39.471Z] GC before operation: completed in 125.518 ms, heap usage 473.485 MB -> 90.439 MB.
[2026-02-12T19:55:42.586Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T19:55:45.714Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T19:55:48.176Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T19:55:51.333Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T19:55:52.644Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T19:55:54.451Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T19:55:56.261Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T19:55:58.063Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T19:55:58.063Z] 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.
[2026-02-12T19:55:58.063Z] The best model improves the baseline by 14.52%.
[2026-02-12T19:55:58.424Z] Top recommended movies for user id 72:
[2026-02-12T19:55:58.424Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T19:55:58.424Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T19:55:58.424Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T19:55:58.424Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T19:55:58.424Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T19:55:58.424Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18726.282 ms) ======
[2026-02-12T19:55:58.424Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-12T19:55:58.424Z] GC before operation: completed in 126.754 ms, heap usage 438.242 MB -> 90.317 MB.
[2026-02-12T19:56:02.480Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T19:56:05.787Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T19:56:09.005Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T19:56:11.445Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T19:56:13.292Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T19:56:15.086Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T19:56:16.961Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T19:56:18.798Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T19:56:18.798Z] 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.
[2026-02-12T19:56:19.166Z] The best model improves the baseline by 14.52%.
[2026-02-12T19:56:19.166Z] Top recommended movies for user id 72:
[2026-02-12T19:56:19.166Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T19:56:19.166Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T19:56:19.166Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T19:56:19.166Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T19:56:19.166Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T19:56:19.166Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20728.679 ms) ======
[2026-02-12T19:56:19.166Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-12T19:56:19.166Z] GC before operation: completed in 125.228 ms, heap usage 231.170 MB -> 92.273 MB.
[2026-02-12T19:56:23.238Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T19:56:26.444Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T19:56:28.916Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T19:56:32.077Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T19:56:33.438Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T19:56:35.207Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T19:56:37.066Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T19:56:38.852Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T19:56:38.852Z] 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.
[2026-02-12T19:56:38.852Z] The best model improves the baseline by 14.52%.
[2026-02-12T19:56:39.208Z] Top recommended movies for user id 72:
[2026-02-12T19:56:39.208Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T19:56:39.208Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T19:56:39.208Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T19:56:39.208Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T19:56:39.208Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T19:56:39.208Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19852.935 ms) ======
[2026-02-12T19:56:39.208Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-12T19:56:39.208Z] GC before operation: completed in 124.754 ms, heap usage 264.064 MB -> 92.166 MB.
[2026-02-12T19:56:42.380Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T19:56:44.813Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T19:56:47.973Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T19:56:50.415Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T19:56:52.295Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T19:56:53.541Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T19:56:55.360Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T19:56:57.177Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T19:56:57.565Z] 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.
[2026-02-12T19:56:57.565Z] The best model improves the baseline by 14.52%.
[2026-02-12T19:56:57.565Z] Top recommended movies for user id 72:
[2026-02-12T19:56:57.565Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T19:56:57.565Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T19:56:57.565Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T19:56:57.565Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T19:56:57.565Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T19:56:57.565Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18318.004 ms) ======
[2026-02-12T19:56:57.565Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-12T19:56:57.565Z] GC before operation: completed in 126.957 ms, heap usage 356.782 MB -> 90.244 MB.
[2026-02-12T19:57:00.721Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T19:57:03.155Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T19:57:06.462Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T19:57:08.881Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T19:57:10.661Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T19:57:12.470Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T19:57:14.279Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T19:57:16.084Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T19:57:16.474Z] 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.
[2026-02-12T19:57:16.474Z] The best model improves the baseline by 14.52%.
[2026-02-12T19:57:16.845Z] Top recommended movies for user id 72:
[2026-02-12T19:57:16.845Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T19:57:16.845Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T19:57:16.845Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T19:57:16.845Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T19:57:16.845Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T19:57:16.845Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18913.419 ms) ======
[2026-02-12T19:57:16.845Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-12T19:57:16.845Z] GC before operation: completed in 128.910 ms, heap usage 497.737 MB -> 90.530 MB.
[2026-02-12T19:57:19.975Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T19:57:22.440Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T19:57:25.616Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T19:57:28.052Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T19:57:29.928Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T19:57:31.740Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T19:57:33.034Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T19:57:34.825Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T19:57:35.198Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-12T19:57:35.198Z] The best model improves the baseline by 14.52%.
[2026-02-12T19:57:35.554Z] Top recommended movies for user id 72:
[2026-02-12T19:57:35.554Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T19:57:35.554Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T19:57:35.554Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T19:57:35.554Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T19:57:35.554Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T19:57:35.554Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18627.374 ms) ======
[2026-02-12T19:57:35.554Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-12T19:57:35.554Z] GC before operation: completed in 125.339 ms, heap usage 271.465 MB -> 89.996 MB.
[2026-02-12T19:57:38.711Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T19:57:41.153Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T19:57:44.285Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T19:57:46.706Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T19:57:48.491Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T19:57:50.327Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T19:57:52.198Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T19:57:53.474Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T19:57:53.838Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-12T19:57:53.839Z] The best model improves the baseline by 14.52%.
[2026-02-12T19:57:54.220Z] Top recommended movies for user id 72:
[2026-02-12T19:57:54.220Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T19:57:54.220Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T19:57:54.220Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T19:57:54.220Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T19:57:54.220Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T19:57:54.220Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18542.816 ms) ======
[2026-02-12T19:57:54.220Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-12T19:57:54.220Z] GC before operation: completed in 141.337 ms, heap usage 356.061 MB -> 90.355 MB.
[2026-02-12T19:57:57.380Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T19:57:59.814Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T19:58:03.066Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T19:58:05.485Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T19:58:07.294Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T19:58:09.072Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T19:58:10.879Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T19:58:12.718Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T19:58:13.088Z] 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.
[2026-02-12T19:58:13.088Z] The best model improves the baseline by 14.52%.
[2026-02-12T19:58:13.089Z] Top recommended movies for user id 72:
[2026-02-12T19:58:13.089Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T19:58:13.089Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T19:58:13.089Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T19:58:13.089Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T19:58:13.089Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T19:58:13.089Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18941.799 ms) ======
[2026-02-12T19:58:13.089Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-12T19:58:13.450Z] GC before operation: completed in 132.804 ms, heap usage 127.865 MB -> 95.949 MB.
[2026-02-12T19:58:16.599Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T19:58:19.787Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T19:58:22.253Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T19:58:25.414Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T19:58:26.688Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T19:58:28.600Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T19:58:30.400Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T19:58:32.199Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T19:58:32.199Z] 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.
[2026-02-12T19:58:32.199Z] The best model improves the baseline by 14.52%.
[2026-02-12T19:58:32.563Z] Top recommended movies for user id 72:
[2026-02-12T19:58:32.563Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T19:58:32.563Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T19:58:32.563Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T19:58:32.563Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T19:58:32.563Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T19:58:32.563Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19126.774 ms) ======
[2026-02-12T19:58:32.563Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-12T19:58:32.563Z] GC before operation: completed in 123.954 ms, heap usage 276.531 MB -> 96.049 MB.
[2026-02-12T19:58:35.710Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T19:58:38.156Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T19:58:41.410Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T19:58:43.807Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T19:58:45.678Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T19:58:46.925Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T19:58:48.716Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T19:58:50.548Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T19:58:50.923Z] 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.
[2026-02-12T19:58:50.923Z] The best model improves the baseline by 14.52%.
[2026-02-12T19:58:50.923Z] Top recommended movies for user id 72:
[2026-02-12T19:58:50.923Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T19:58:50.923Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T19:58:50.923Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T19:58:50.923Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T19:58:50.923Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T19:58:50.923Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18444.291 ms) ======
[2026-02-12T19:58:50.923Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-12T19:58:51.281Z] GC before operation: completed in 130.527 ms, heap usage 285.637 MB -> 89.979 MB.
[2026-02-12T19:58:53.742Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T19:58:56.908Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T19:58:59.513Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T19:59:02.647Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T19:59:03.938Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T19:59:05.721Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T19:59:07.521Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T19:59:09.359Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T19:59:09.359Z] 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.
[2026-02-12T19:59:09.359Z] The best model improves the baseline by 14.52%.
[2026-02-12T19:59:09.745Z] Top recommended movies for user id 72:
[2026-02-12T19:59:09.745Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T19:59:09.745Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T19:59:09.745Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T19:59:09.745Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T19:59:09.745Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T19:59:09.745Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18548.139 ms) ======
[2026-02-12T19:59:09.745Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-12T19:59:09.745Z] GC before operation: completed in 126.046 ms, heap usage 257.348 MB -> 90.128 MB.
[2026-02-12T19:59:12.895Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-12T19:59:15.377Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-12T19:59:18.555Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-12T19:59:21.014Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-12T19:59:22.280Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-12T19:59:24.055Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-12T19:59:25.844Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-12T19:59:27.727Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-12T19:59:28.081Z] 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.
[2026-02-12T19:59:28.081Z] The best model improves the baseline by 14.52%.
[2026-02-12T19:59:28.081Z] Top recommended movies for user id 72:
[2026-02-12T19:59:28.081Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-12T19:59:28.081Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-12T19:59:28.081Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-12T19:59:28.081Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-12T19:59:28.081Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-12T19:59:28.081Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18334.839 ms) ======
[2026-02-12T19:59:28.841Z] -----------------------------------
[2026-02-12T19:59:28.841Z] renaissance-movie-lens_0_PASSED
[2026-02-12T19:59:28.841Z] -----------------------------------
[2026-02-12T19:59:28.841Z]
[2026-02-12T19:59:28.841Z] TEST TEARDOWN:
[2026-02-12T19:59:28.841Z] Nothing to be done for teardown.
[2026-02-12T19:59:28.841Z] renaissance-movie-lens_0 Finish Time: Thu Feb 12 19:59:28 2026 Epoch Time (ms): 1770926368600