renaissance-movie-lens_0
[2025-12-13T15:12:26.898Z] Running test renaissance-movie-lens_0 ...
[2025-12-13T15:12:26.898Z] ===============================================
[2025-12-13T15:12:26.898Z] renaissance-movie-lens_0 Start Time: Sat Dec 13 15:12:26 2025 Epoch Time (ms): 1765638746692
[2025-12-13T15:12:26.898Z] variation: NoOptions
[2025-12-13T15:12:26.898Z] JVM_OPTIONS:
[2025-12-13T15:12:26.898Z] { \
[2025-12-13T15:12:26.898Z] echo ""; echo "TEST SETUP:"; \
[2025-12-13T15:12:26.898Z] echo "Nothing to be done for setup."; \
[2025-12-13T15:12:26.898Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17656367539630/renaissance-movie-lens_0"; \
[2025-12-13T15:12:26.898Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17656367539630/renaissance-movie-lens_0"; \
[2025-12-13T15:12:26.898Z] echo ""; echo "TESTING:"; \
[2025-12-13T15:12:26.898Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17656367539630/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-12-13T15:12:26.898Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17656367539630/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-12-13T15:12:26.898Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-12-13T15:12:26.898Z] echo "Nothing to be done for teardown."; \
[2025-12-13T15:12:26.898Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17656367539630/TestTargetResult";
[2025-12-13T15:12:26.898Z]
[2025-12-13T15:12:26.898Z] TEST SETUP:
[2025-12-13T15:12:26.898Z] Nothing to be done for setup.
[2025-12-13T15:12:26.898Z]
[2025-12-13T15:12:26.898Z] TESTING:
[2025-12-13T15:12:27.859Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-12-13T15:12:27.859Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17656367539630/renaissance-movie-lens_0/launcher-151226-9548339198401767125/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-12-13T15:12:27.859Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-12-13T15:12:27.859Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-12-13T15:12:37.671Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-12-13T15:12:53.553Z] 15:12:52.617 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-12-13T15:12:56.598Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-12-13T15:12:57.562Z] Training: 60056, validation: 20285, test: 19854
[2025-12-13T15:12:57.562Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-12-13T15:12:57.562Z] GC before operation: completed in 167.967 ms, heap usage 186.269 MB -> 75.740 MB.
[2025-12-13T15:13:09.197Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T15:13:14.859Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T15:13:21.627Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T15:13:25.831Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T15:13:30.037Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T15:13:33.146Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T15:13:36.200Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T15:13:39.268Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T15:13:39.268Z] 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.
[2025-12-13T15:13:39.268Z] The best model improves the baseline by 14.52%.
[2025-12-13T15:13:39.268Z] Top recommended movies for user id 72:
[2025-12-13T15:13:39.268Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T15:13:39.268Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T15:13:39.268Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T15:13:39.268Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T15:13:39.268Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T15:13:39.268Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (42095.329 ms) ======
[2025-12-13T15:13:39.268Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-12-13T15:13:40.229Z] GC before operation: completed in 221.876 ms, heap usage 116.341 MB -> 86.081 MB.
[2025-12-13T15:13:44.427Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T15:13:49.855Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T15:13:54.051Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T15:13:58.245Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T15:14:01.301Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T15:14:05.168Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T15:14:07.159Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T15:14:09.142Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T15:14:10.109Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-13T15:14:10.109Z] The best model improves the baseline by 14.52%.
[2025-12-13T15:14:10.109Z] Top recommended movies for user id 72:
[2025-12-13T15:14:10.109Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T15:14:10.109Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T15:14:10.109Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T15:14:10.109Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T15:14:10.109Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T15:14:10.109Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (30191.462 ms) ======
[2025-12-13T15:14:10.109Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-12-13T15:14:10.109Z] GC before operation: completed in 212.778 ms, heap usage 452.110 MB -> 88.589 MB.
[2025-12-13T15:14:14.307Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T15:14:18.689Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T15:14:22.892Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T15:14:27.082Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T15:14:30.134Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T15:14:32.111Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T15:14:34.096Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T15:14:37.147Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T15:14:37.147Z] 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.
[2025-12-13T15:14:37.147Z] The best model improves the baseline by 14.52%.
[2025-12-13T15:14:37.147Z] Top recommended movies for user id 72:
[2025-12-13T15:14:37.147Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T15:14:37.147Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T15:14:37.147Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T15:14:37.147Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T15:14:37.147Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T15:14:37.147Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (27152.211 ms) ======
[2025-12-13T15:14:37.147Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-12-13T15:14:37.147Z] GC before operation: completed in 201.091 ms, heap usage 404.360 MB -> 89.249 MB.
[2025-12-13T15:14:41.350Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T15:14:45.561Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T15:14:49.759Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T15:14:53.959Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T15:14:55.945Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T15:14:59.006Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T15:15:01.704Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T15:15:02.674Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T15:15:03.645Z] 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.
[2025-12-13T15:15:03.645Z] The best model improves the baseline by 14.52%.
[2025-12-13T15:15:03.645Z] Top recommended movies for user id 72:
[2025-12-13T15:15:03.645Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T15:15:03.645Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T15:15:03.645Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T15:15:03.645Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T15:15:03.645Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T15:15:03.645Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (26064.155 ms) ======
[2025-12-13T15:15:03.645Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-12-13T15:15:03.645Z] GC before operation: completed in 247.241 ms, heap usage 585.442 MB -> 93.075 MB.
[2025-12-13T15:15:07.840Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T15:15:12.039Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T15:15:15.106Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T15:15:19.315Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T15:15:21.296Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T15:15:24.343Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T15:15:26.319Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T15:15:28.303Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T15:15:28.303Z] 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.
[2025-12-13T15:15:28.303Z] The best model improves the baseline by 14.52%.
[2025-12-13T15:15:29.267Z] Top recommended movies for user id 72:
[2025-12-13T15:15:29.267Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T15:15:29.267Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T15:15:29.267Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T15:15:29.267Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T15:15:29.267Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T15:15:29.267Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (24971.958 ms) ======
[2025-12-13T15:15:29.267Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-12-13T15:15:29.267Z] GC before operation: completed in 207.702 ms, heap usage 164.100 MB -> 89.266 MB.
[2025-12-13T15:15:33.468Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T15:15:36.527Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T15:15:39.584Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T15:15:43.786Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T15:15:45.763Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T15:15:47.741Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T15:15:50.135Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T15:15:52.113Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T15:15:52.113Z] 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.
[2025-12-13T15:15:52.113Z] The best model improves the baseline by 14.52%.
[2025-12-13T15:15:52.113Z] Top recommended movies for user id 72:
[2025-12-13T15:15:52.113Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T15:15:52.113Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T15:15:52.113Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T15:15:52.113Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T15:15:52.113Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T15:15:52.113Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (23363.467 ms) ======
[2025-12-13T15:15:52.113Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-12-13T15:15:53.075Z] GC before operation: completed in 217.875 ms, heap usage 488.365 MB -> 89.961 MB.
[2025-12-13T15:15:56.123Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T15:16:00.322Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T15:16:03.524Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T15:16:06.581Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T15:16:09.630Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T15:16:11.613Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T15:16:13.594Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T15:16:15.569Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T15:16:15.569Z] 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.
[2025-12-13T15:16:15.569Z] The best model improves the baseline by 14.52%.
[2025-12-13T15:16:15.569Z] Top recommended movies for user id 72:
[2025-12-13T15:16:15.569Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T15:16:15.569Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T15:16:15.569Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T15:16:15.569Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T15:16:15.569Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T15:16:15.569Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (23241.222 ms) ======
[2025-12-13T15:16:15.569Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-12-13T15:16:16.535Z] GC before operation: completed in 205.973 ms, heap usage 165.064 MB -> 90.327 MB.
[2025-12-13T15:16:19.584Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T15:16:23.780Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T15:16:26.825Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T15:16:29.881Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T15:16:31.858Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T15:16:33.836Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T15:16:35.813Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T15:16:37.793Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T15:16:38.761Z] 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.
[2025-12-13T15:16:38.761Z] The best model improves the baseline by 14.52%.
[2025-12-13T15:16:38.761Z] Top recommended movies for user id 72:
[2025-12-13T15:16:38.761Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T15:16:38.761Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T15:16:38.761Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T15:16:38.761Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T15:16:38.761Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T15:16:38.761Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (22718.910 ms) ======
[2025-12-13T15:16:38.761Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-12-13T15:16:38.761Z] GC before operation: completed in 221.269 ms, heap usage 208.644 MB -> 89.849 MB.
[2025-12-13T15:16:42.509Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T15:16:46.712Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T15:16:49.761Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T15:16:53.950Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T15:16:55.926Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T15:16:57.902Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T15:16:59.876Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T15:17:01.862Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T15:17:02.830Z] 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.
[2025-12-13T15:17:02.830Z] The best model improves the baseline by 14.52%.
[2025-12-13T15:17:02.830Z] Top recommended movies for user id 72:
[2025-12-13T15:17:02.830Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T15:17:02.830Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T15:17:02.830Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T15:17:02.830Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T15:17:02.830Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T15:17:02.830Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (23871.094 ms) ======
[2025-12-13T15:17:02.830Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-12-13T15:17:02.830Z] GC before operation: completed in 293.570 ms, heap usage 235.329 MB -> 89.629 MB.
[2025-12-13T15:17:07.141Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T15:17:10.188Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T15:17:14.384Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T15:17:17.437Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T15:17:19.423Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T15:17:22.471Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T15:17:24.458Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T15:17:26.438Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T15:17:27.397Z] 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.
[2025-12-13T15:17:27.397Z] The best model improves the baseline by 14.52%.
[2025-12-13T15:17:27.397Z] Top recommended movies for user id 72:
[2025-12-13T15:17:27.397Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T15:17:27.397Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T15:17:27.397Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T15:17:27.397Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T15:17:27.397Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T15:17:27.397Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (24009.741 ms) ======
[2025-12-13T15:17:27.397Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-12-13T15:17:27.397Z] GC before operation: completed in 205.409 ms, heap usage 379.032 MB -> 90.190 MB.
[2025-12-13T15:17:32.322Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T15:17:35.388Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T15:17:39.583Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T15:17:42.645Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T15:17:44.619Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T15:17:46.598Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T15:17:49.653Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T15:17:51.636Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T15:17:51.636Z] 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.
[2025-12-13T15:17:51.636Z] The best model improves the baseline by 14.52%.
[2025-12-13T15:17:52.607Z] Top recommended movies for user id 72:
[2025-12-13T15:17:52.607Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T15:17:52.607Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T15:17:52.607Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T15:17:52.607Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T15:17:52.607Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T15:17:52.607Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (24707.518 ms) ======
[2025-12-13T15:17:52.607Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-12-13T15:17:52.607Z] GC before operation: completed in 271.330 ms, heap usage 240.995 MB -> 89.588 MB.
[2025-12-13T15:17:56.819Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T15:17:59.877Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T15:18:04.118Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T15:18:07.190Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T15:18:09.175Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T15:18:12.267Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T15:18:14.259Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T15:18:16.240Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T15:18:16.240Z] 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.
[2025-12-13T15:18:16.240Z] The best model improves the baseline by 14.52%.
[2025-12-13T15:18:17.203Z] Top recommended movies for user id 72:
[2025-12-13T15:18:17.203Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T15:18:17.203Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T15:18:17.203Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T15:18:17.203Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T15:18:17.203Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T15:18:17.203Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (24460.311 ms) ======
[2025-12-13T15:18:17.203Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-12-13T15:18:17.203Z] GC before operation: completed in 283.121 ms, heap usage 404.902 MB -> 90.109 MB.
[2025-12-13T15:18:21.426Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T15:18:24.897Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T15:18:29.096Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T15:18:32.147Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T15:18:34.122Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T15:18:37.178Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T15:18:39.185Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T15:18:41.174Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T15:18:42.156Z] 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.
[2025-12-13T15:18:42.156Z] The best model improves the baseline by 14.52%.
[2025-12-13T15:18:42.156Z] Top recommended movies for user id 72:
[2025-12-13T15:18:42.156Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T15:18:42.156Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T15:18:42.156Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T15:18:42.156Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T15:18:42.156Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T15:18:42.156Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (24848.550 ms) ======
[2025-12-13T15:18:42.156Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-12-13T15:18:42.156Z] GC before operation: completed in 305.915 ms, heap usage 453.817 MB -> 90.242 MB.
[2025-12-13T15:18:46.352Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T15:18:49.402Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T15:18:53.600Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T15:18:56.645Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T15:18:59.696Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T15:19:01.679Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T15:19:03.716Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T15:19:05.694Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T15:19:06.660Z] 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.
[2025-12-13T15:19:06.660Z] The best model improves the baseline by 14.52%.
[2025-12-13T15:19:06.660Z] Top recommended movies for user id 72:
[2025-12-13T15:19:06.660Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T15:19:06.660Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T15:19:06.660Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T15:19:06.660Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T15:19:06.660Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T15:19:06.660Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (24368.849 ms) ======
[2025-12-13T15:19:06.660Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-12-13T15:19:06.660Z] GC before operation: completed in 290.591 ms, heap usage 399.844 MB -> 90.053 MB.
[2025-12-13T15:19:10.849Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T15:19:14.610Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T15:19:18.986Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T15:19:22.036Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T15:19:24.018Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T15:19:25.994Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T15:19:27.967Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T15:19:31.019Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T15:19:31.019Z] 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.
[2025-12-13T15:19:31.019Z] The best model improves the baseline by 14.52%.
[2025-12-13T15:19:31.019Z] Top recommended movies for user id 72:
[2025-12-13T15:19:31.019Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T15:19:31.019Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T15:19:31.019Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T15:19:31.019Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T15:19:31.019Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T15:19:31.019Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (24253.072 ms) ======
[2025-12-13T15:19:31.019Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-12-13T15:19:31.019Z] GC before operation: completed in 235.826 ms, heap usage 114.027 MB -> 89.896 MB.
[2025-12-13T15:19:35.225Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T15:19:39.424Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T15:19:42.473Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T15:19:46.672Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T15:19:48.684Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T15:19:50.662Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T15:19:52.644Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T15:19:55.705Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T15:19:55.705Z] 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.
[2025-12-13T15:19:55.705Z] The best model improves the baseline by 14.52%.
[2025-12-13T15:19:55.705Z] Top recommended movies for user id 72:
[2025-12-13T15:19:55.705Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T15:19:55.705Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T15:19:55.705Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T15:19:55.705Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T15:19:55.705Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T15:19:55.705Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (24326.272 ms) ======
[2025-12-13T15:19:55.705Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-12-13T15:19:55.705Z] GC before operation: completed in 253.743 ms, heap usage 242.979 MB -> 89.945 MB.
[2025-12-13T15:19:59.900Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T15:20:04.128Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T15:20:06.826Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T15:20:11.023Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T15:20:12.998Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T15:20:14.978Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T15:20:18.030Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T15:20:20.019Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T15:20:20.019Z] 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.
[2025-12-13T15:20:20.019Z] The best model improves the baseline by 14.52%.
[2025-12-13T15:20:20.019Z] Top recommended movies for user id 72:
[2025-12-13T15:20:20.019Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T15:20:20.019Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T15:20:20.019Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T15:20:20.019Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T15:20:20.019Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T15:20:20.019Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (24289.277 ms) ======
[2025-12-13T15:20:20.019Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-12-13T15:20:20.981Z] GC before operation: completed in 200.459 ms, heap usage 301.326 MB -> 90.034 MB.
[2025-12-13T15:20:24.042Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T15:20:28.243Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T15:20:31.308Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T15:20:35.502Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T15:20:37.479Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T15:20:39.470Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T15:20:42.523Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T15:20:44.503Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T15:20:44.503Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-13T15:20:44.503Z] The best model improves the baseline by 14.52%.
[2025-12-13T15:20:45.467Z] Top recommended movies for user id 72:
[2025-12-13T15:20:45.467Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T15:20:45.467Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T15:20:45.467Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T15:20:45.467Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T15:20:45.467Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T15:20:45.467Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (24522.674 ms) ======
[2025-12-13T15:20:45.467Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-12-13T15:20:45.467Z] GC before operation: completed in 226.204 ms, heap usage 213.506 MB -> 89.746 MB.
[2025-12-13T15:20:49.664Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T15:20:52.715Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T15:20:55.775Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T15:20:58.824Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T15:21:00.814Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T15:21:03.251Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T15:21:05.231Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T15:21:07.209Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T15:21:07.210Z] 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.
[2025-12-13T15:21:08.179Z] The best model improves the baseline by 14.52%.
[2025-12-13T15:21:08.179Z] Top recommended movies for user id 72:
[2025-12-13T15:21:08.179Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T15:21:08.179Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T15:21:08.179Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T15:21:08.179Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T15:21:08.179Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T15:21:08.179Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (22592.583 ms) ======
[2025-12-13T15:21:08.179Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-12-13T15:21:08.179Z] GC before operation: completed in 243.799 ms, heap usage 254.855 MB -> 90.034 MB.
[2025-12-13T15:21:12.364Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T15:21:15.417Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T15:21:18.589Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T15:21:22.788Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T15:21:24.821Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T15:21:27.894Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T15:21:29.876Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T15:21:32.947Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T15:21:32.947Z] 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.
[2025-12-13T15:21:32.947Z] The best model improves the baseline by 14.52%.
[2025-12-13T15:21:33.905Z] Top recommended movies for user id 72:
[2025-12-13T15:21:33.905Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T15:21:33.905Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T15:21:33.905Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T15:21:33.905Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T15:21:33.905Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T15:21:33.905Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (25323.587 ms) ======
[2025-12-13T15:21:34.871Z] -----------------------------------
[2025-12-13T15:21:34.871Z] renaissance-movie-lens_0_PASSED
[2025-12-13T15:21:34.871Z] -----------------------------------
[2025-12-13T15:21:34.871Z]
[2025-12-13T15:21:34.871Z] TEST TEARDOWN:
[2025-12-13T15:21:34.871Z] Nothing to be done for teardown.
[2025-12-13T15:21:34.871Z] renaissance-movie-lens_0 Finish Time: Sat Dec 13 15:21:34 2025 Epoch Time (ms): 1765639294136