renaissance-movie-lens_0
[2026-02-19T22:44:27.604Z] Running test renaissance-movie-lens_0 ...
[2026-02-19T22:44:27.604Z] ===============================================
[2026-02-19T22:44:27.604Z] renaissance-movie-lens_0 Start Time: Thu Feb 19 22:44:26 2026 Epoch Time (ms): 1771541066626
[2026-02-19T22:44:27.604Z] variation: NoOptions
[2026-02-19T22:44:27.604Z] JVM_OPTIONS:
[2026-02-19T22:44:27.604Z] { \
[2026-02-19T22:44:27.604Z] echo ""; echo "TEST SETUP:"; \
[2026-02-19T22:44:27.604Z] echo "Nothing to be done for setup."; \
[2026-02-19T22:44:27.604Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17715395875733/renaissance-movie-lens_0"; \
[2026-02-19T22:44:27.604Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17715395875733/renaissance-movie-lens_0"; \
[2026-02-19T22:44:27.604Z] echo ""; echo "TESTING:"; \
[2026-02-19T22:44:27.604Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_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_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17715395875733/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-19T22:44:27.604Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17715395875733/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-19T22:44:27.604Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-19T22:44:27.604Z] echo "Nothing to be done for teardown."; \
[2026-02-19T22:44:27.604Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17715395875733/TestTargetResult";
[2026-02-19T22:44:27.604Z]
[2026-02-19T22:44:27.604Z] TEST SETUP:
[2026-02-19T22:44:27.604Z] Nothing to be done for setup.
[2026-02-19T22:44:27.604Z]
[2026-02-19T22:44:27.604Z] TESTING:
[2026-02-19T22:44:27.604Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-19T22:44:27.605Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17715395875733/renaissance-movie-lens_0/launcher-224426-14933073472478003793/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-19T22:44:27.605Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-19T22:44:27.605Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-19T22:44:37.264Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-19T22:44:53.320Z] 22:44:52.805 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-19T22:44:57.641Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-19T22:44:58.390Z] Training: 60056, validation: 20285, test: 19854
[2026-02-19T22:44:58.390Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-19T22:44:59.150Z] GC before operation: completed in 334.716 ms, heap usage 369.504 MB -> 75.722 MB.
[2026-02-19T22:45:15.026Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:45:23.143Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:45:29.878Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:45:37.976Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:45:41.323Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:45:44.692Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:45:49.256Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:45:52.592Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:45:52.592Z] 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.
[2026-02-19T22:45:53.337Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:45:53.337Z] Top recommended movies for user id 72:
[2026-02-19T22:45:53.337Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:45:53.337Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:45:53.337Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:45:53.337Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:45:53.337Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:45:53.337Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (54461.894 ms) ======
[2026-02-19T22:45:53.337Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-19T22:45:54.089Z] GC before operation: completed in 407.310 ms, heap usage 277.657 MB -> 89.283 MB.
[2026-02-19T22:46:00.805Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:46:06.266Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:46:12.970Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:46:18.443Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:46:22.874Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:46:26.229Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:46:29.557Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:46:33.403Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:46:34.149Z] 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.
[2026-02-19T22:46:34.149Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:46:34.899Z] Top recommended movies for user id 72:
[2026-02-19T22:46:34.899Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:46:34.899Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:46:34.899Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:46:34.899Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:46:34.899Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:46:34.899Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (40792.489 ms) ======
[2026-02-19T22:46:34.899Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-19T22:46:34.899Z] GC before operation: completed in 287.761 ms, heap usage 439.720 MB -> 88.565 MB.
[2026-02-19T22:46:41.637Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:46:47.108Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:46:53.808Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:47:00.518Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:47:03.846Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:47:07.184Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:47:10.535Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:47:13.849Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:47:14.591Z] 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.
[2026-02-19T22:47:14.591Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:47:14.591Z] Top recommended movies for user id 72:
[2026-02-19T22:47:14.591Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:47:14.591Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:47:14.591Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:47:14.591Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:47:14.591Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:47:14.591Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (39962.617 ms) ======
[2026-02-19T22:47:14.591Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-19T22:47:15.333Z] GC before operation: completed in 282.886 ms, heap usage 534.267 MB -> 89.451 MB.
[2026-02-19T22:47:20.811Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:47:26.492Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:47:31.958Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:47:37.436Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:47:40.762Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:47:44.108Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:47:48.450Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:47:50.868Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:47:51.612Z] 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.
[2026-02-19T22:47:51.612Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:47:51.612Z] Top recommended movies for user id 72:
[2026-02-19T22:47:51.612Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:47:51.612Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:47:51.612Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:47:51.612Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:47:51.612Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:47:51.612Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (36706.812 ms) ======
[2026-02-19T22:47:51.612Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-19T22:47:52.351Z] GC before operation: completed in 332.730 ms, heap usage 378.480 MB -> 89.565 MB.
[2026-02-19T22:47:57.812Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:48:03.250Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:48:08.706Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:48:13.549Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:48:16.869Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:48:20.193Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:48:23.632Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:48:26.958Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:48:27.699Z] 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.
[2026-02-19T22:48:27.699Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:48:27.699Z] Top recommended movies for user id 72:
[2026-02-19T22:48:27.699Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:48:27.699Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:48:27.699Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:48:27.699Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:48:27.699Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:48:27.699Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (35762.211 ms) ======
[2026-02-19T22:48:27.699Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-19T22:48:28.439Z] GC before operation: completed in 250.422 ms, heap usage 424.339 MB -> 89.482 MB.
[2026-02-19T22:48:33.877Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:48:39.351Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:48:44.805Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:48:49.173Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:48:52.494Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:48:56.301Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:48:58.721Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:49:02.047Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:49:02.788Z] 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.
[2026-02-19T22:49:02.788Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:49:02.788Z] Top recommended movies for user id 72:
[2026-02-19T22:49:02.788Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:49:02.788Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:49:02.788Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:49:02.788Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:49:02.788Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:49:02.788Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (34643.994 ms) ======
[2026-02-19T22:49:02.788Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-19T22:49:02.788Z] GC before operation: completed in 286.767 ms, heap usage 455.897 MB -> 89.856 MB.
[2026-02-19T22:49:08.241Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:49:12.672Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:49:18.118Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:49:22.444Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:49:25.831Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:49:28.237Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:49:30.645Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:49:33.505Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:49:34.252Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-19T22:49:34.252Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:49:34.252Z] Top recommended movies for user id 72:
[2026-02-19T22:49:34.252Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:49:34.252Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:49:34.252Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:49:34.252Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:49:34.252Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:49:34.252Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (31280.751 ms) ======
[2026-02-19T22:49:34.252Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-19T22:49:34.994Z] GC before operation: completed in 257.361 ms, heap usage 542.206 MB -> 93.156 MB.
[2026-02-19T22:49:39.321Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:49:44.768Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:49:50.234Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:49:54.703Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:49:58.043Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:50:01.380Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:50:04.709Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:50:08.039Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:50:08.039Z] 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.
[2026-02-19T22:50:08.039Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:50:08.039Z] Top recommended movies for user id 72:
[2026-02-19T22:50:08.039Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:50:08.039Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:50:08.039Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:50:08.039Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:50:08.039Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:50:08.039Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (33612.541 ms) ======
[2026-02-19T22:50:08.039Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-19T22:50:08.783Z] GC before operation: completed in 369.972 ms, heap usage 732.885 MB -> 93.623 MB.
[2026-02-19T22:50:13.177Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:50:18.619Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:50:23.204Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:50:27.535Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:50:30.855Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:50:33.267Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:50:36.586Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:50:38.993Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:50:39.747Z] 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.
[2026-02-19T22:50:39.747Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:50:39.747Z] Top recommended movies for user id 72:
[2026-02-19T22:50:39.747Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:50:39.747Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:50:39.747Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:50:39.747Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:50:39.747Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:50:39.747Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (31384.555 ms) ======
[2026-02-19T22:50:39.747Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-19T22:50:40.493Z] GC before operation: completed in 251.494 ms, heap usage 546.745 MB -> 93.298 MB.
[2026-02-19T22:50:44.838Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:50:50.301Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:50:54.635Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:50:59.007Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:51:01.392Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:51:04.808Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:51:07.204Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:51:10.537Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:51:10.537Z] 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.
[2026-02-19T22:51:10.537Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:51:11.288Z] Top recommended movies for user id 72:
[2026-02-19T22:51:11.288Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:51:11.288Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:51:11.288Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:51:11.288Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:51:11.288Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:51:11.288Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (30711.015 ms) ======
[2026-02-19T22:51:11.288Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-19T22:51:11.288Z] GC before operation: completed in 300.846 ms, heap usage 555.267 MB -> 93.524 MB.
[2026-02-19T22:51:16.726Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:51:21.076Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:51:26.656Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:51:30.984Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:51:33.498Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:51:36.832Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:51:40.157Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:51:42.562Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:51:43.328Z] 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.
[2026-02-19T22:51:43.328Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:51:43.328Z] Top recommended movies for user id 72:
[2026-02-19T22:51:43.328Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:51:43.328Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:51:43.328Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:51:43.328Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:51:43.328Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:51:43.328Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (31973.138 ms) ======
[2026-02-19T22:51:43.328Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-19T22:51:43.328Z] GC before operation: completed in 297.079 ms, heap usage 795.356 MB -> 93.518 MB.
[2026-02-19T22:51:50.515Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:51:52.923Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:51:58.349Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:52:02.680Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:52:05.079Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:52:08.409Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:52:10.863Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:52:13.334Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:52:14.093Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-19T22:52:14.093Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:52:14.093Z] Top recommended movies for user id 72:
[2026-02-19T22:52:14.093Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:52:14.093Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:52:14.093Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:52:14.093Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:52:14.093Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:52:14.093Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (30712.840 ms) ======
[2026-02-19T22:52:14.093Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-19T22:52:14.838Z] GC before operation: completed in 323.887 ms, heap usage 126.052 MB -> 92.250 MB.
[2026-02-19T22:52:20.301Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:52:25.129Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:52:30.609Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:52:34.935Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:52:38.248Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:52:41.593Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:52:44.013Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:52:47.330Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:52:47.330Z] 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.
[2026-02-19T22:52:47.330Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:52:47.330Z] Top recommended movies for user id 72:
[2026-02-19T22:52:47.330Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:52:47.330Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:52:47.330Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:52:47.330Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:52:47.330Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:52:47.330Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (33067.107 ms) ======
[2026-02-19T22:52:47.330Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-19T22:52:48.072Z] GC before operation: completed in 256.620 ms, heap usage 710.899 MB -> 93.964 MB.
[2026-02-19T22:52:53.510Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:52:58.940Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:53:03.276Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:53:07.597Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:53:11.949Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:53:14.337Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:53:17.695Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:53:20.288Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:53:21.028Z] 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.
[2026-02-19T22:53:21.028Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:53:21.028Z] Top recommended movies for user id 72:
[2026-02-19T22:53:21.028Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:53:21.028Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:53:21.028Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:53:21.028Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:53:21.028Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:53:21.028Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (33459.103 ms) ======
[2026-02-19T22:53:21.028Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-19T22:53:21.775Z] GC before operation: completed in 293.503 ms, heap usage 449.245 MB -> 90.067 MB.
[2026-02-19T22:53:27.252Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:53:32.723Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:53:38.178Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:53:42.508Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:53:45.832Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:53:49.222Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:53:52.536Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:53:54.938Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:53:55.685Z] 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.
[2026-02-19T22:53:55.685Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:53:56.425Z] Top recommended movies for user id 72:
[2026-02-19T22:53:56.425Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:53:56.425Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:53:56.425Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:53:56.425Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:53:56.425Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:53:56.425Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (34379.132 ms) ======
[2026-02-19T22:53:56.425Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-19T22:53:56.425Z] GC before operation: completed in 335.128 ms, heap usage 369.043 MB -> 90.170 MB.
[2026-02-19T22:54:01.243Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:54:06.694Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:54:12.283Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:54:16.648Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:54:19.973Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:54:22.371Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:54:25.794Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:54:29.115Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:54:29.875Z] 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.
[2026-02-19T22:54:29.875Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:54:29.875Z] Top recommended movies for user id 72:
[2026-02-19T22:54:29.875Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:54:29.875Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:54:29.875Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:54:29.875Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:54:29.875Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:54:29.875Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (33608.613 ms) ======
[2026-02-19T22:54:29.875Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-19T22:54:30.618Z] GC before operation: completed in 272.268 ms, heap usage 299.663 MB -> 89.966 MB.
[2026-02-19T22:54:36.088Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:54:39.395Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:54:48.320Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:54:52.759Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:54:55.151Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:54:57.554Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:55:00.891Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:55:03.309Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:55:03.309Z] 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.
[2026-02-19T22:55:04.063Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:55:04.063Z] Top recommended movies for user id 72:
[2026-02-19T22:55:04.063Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:55:04.063Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:55:04.063Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:55:04.063Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:55:04.063Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:55:04.063Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (33710.826 ms) ======
[2026-02-19T22:55:04.063Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-19T22:55:04.063Z] GC before operation: completed in 314.540 ms, heap usage 485.284 MB -> 90.280 MB.
[2026-02-19T22:55:09.575Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:55:13.903Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:55:18.244Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:55:22.588Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:55:25.916Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:55:28.819Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:55:31.230Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:55:33.629Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:55:34.375Z] 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.
[2026-02-19T22:55:34.375Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:55:34.375Z] Top recommended movies for user id 72:
[2026-02-19T22:55:34.375Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:55:34.375Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:55:34.375Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:55:34.375Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:55:34.375Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:55:34.375Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (30364.565 ms) ======
[2026-02-19T22:55:34.375Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-19T22:55:35.129Z] GC before operation: completed in 265.894 ms, heap usage 256.348 MB -> 89.736 MB.
[2026-02-19T22:55:39.475Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:55:43.830Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:55:49.299Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:55:53.614Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:55:56.057Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:55:58.477Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:56:01.796Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:56:05.128Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:56:05.128Z] 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.
[2026-02-19T22:56:05.128Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:56:05.128Z] Top recommended movies for user id 72:
[2026-02-19T22:56:05.128Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:56:05.128Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:56:05.128Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:56:05.128Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:56:05.128Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:56:05.128Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (30529.635 ms) ======
[2026-02-19T22:56:05.128Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-19T22:56:05.879Z] GC before operation: completed in 344.125 ms, heap usage 262.412 MB -> 89.906 MB.
[2026-02-19T22:56:11.394Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-19T22:56:15.741Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-19T22:56:20.580Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-19T22:56:26.027Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-19T22:56:28.419Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-19T22:56:31.763Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-19T22:56:35.100Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-19T22:56:38.433Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-19T22:56:39.176Z] 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.
[2026-02-19T22:56:39.176Z] The best model improves the baseline by 14.52%.
[2026-02-19T22:56:39.176Z] Top recommended movies for user id 72:
[2026-02-19T22:56:39.176Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-19T22:56:39.176Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-19T22:56:39.176Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-19T22:56:39.177Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-19T22:56:39.177Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-19T22:56:39.177Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (33283.137 ms) ======
[2026-02-19T22:56:39.919Z] -----------------------------------
[2026-02-19T22:56:39.919Z] renaissance-movie-lens_0_PASSED
[2026-02-19T22:56:39.919Z] -----------------------------------
[2026-02-19T22:56:39.919Z]
[2026-02-19T22:56:39.919Z] TEST TEARDOWN:
[2026-02-19T22:56:39.919Z] Nothing to be done for teardown.
[2026-02-19T22:56:39.919Z] renaissance-movie-lens_0 Finish Time: Thu Feb 19 22:56:39 2026 Epoch Time (ms): 1771541799559