renaissance-movie-lens_0
[2025-10-16T00:29:19.571Z] Running test renaissance-movie-lens_0 ...
[2025-10-16T00:29:19.571Z] ===============================================
[2025-10-16T00:29:19.571Z] renaissance-movie-lens_0 Start Time: Thu Oct 16 00:29:19 2025 Epoch Time (ms): 1760574559107
[2025-10-16T00:29:19.571Z] variation: NoOptions
[2025-10-16T00:29:19.571Z] JVM_OPTIONS:
[2025-10-16T00:29:19.571Z] { \
[2025-10-16T00:29:19.571Z] echo ""; echo "TEST SETUP:"; \
[2025-10-16T00:29:19.571Z] echo "Nothing to be done for setup."; \
[2025-10-16T00:29:19.571Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17605725194293/renaissance-movie-lens_0"; \
[2025-10-16T00:29:19.571Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17605725194293/renaissance-movie-lens_0"; \
[2025-10-16T00:29:19.571Z] echo ""; echo "TESTING:"; \
[2025-10-16T00:29:19.571Z] "/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_17605725194293/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-10-16T00:29:19.571Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17605725194293/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-10-16T00:29:19.571Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-10-16T00:29:19.571Z] echo "Nothing to be done for teardown."; \
[2025-10-16T00:29:19.571Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17605725194293/TestTargetResult";
[2025-10-16T00:29:19.571Z]
[2025-10-16T00:29:19.572Z] TEST SETUP:
[2025-10-16T00:29:19.572Z] Nothing to be done for setup.
[2025-10-16T00:29:19.572Z]
[2025-10-16T00:29:19.572Z] TESTING:
[2025-10-16T00:29:20.530Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-10-16T00:29:20.530Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17605725194293/renaissance-movie-lens_0/launcher-002919-8699830484870042370/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-10-16T00:29:20.530Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-10-16T00:29:20.530Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-10-16T00:29:42.201Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-10-16T00:30:01.341Z] 00:30:01.153 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.
[2025-10-16T00:30:06.851Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-10-16T00:30:07.830Z] Training: 60056, validation: 20285, test: 19854
[2025-10-16T00:30:07.830Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-10-16T00:30:08.787Z] GC before operation: completed in 292.149 ms, heap usage 220.482 MB -> 75.580 MB.
[2025-10-16T00:30:24.742Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T00:30:33.186Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T00:30:41.449Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T00:30:48.375Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T00:30:51.419Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T00:30:55.640Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T00:31:00.592Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T00:31:03.686Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T00:31:03.686Z] 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.
[2025-10-16T00:31:04.655Z] The best model improves the baseline by 14.52%.
[2025-10-16T00:31:04.655Z] Top recommended movies for user id 72:
[2025-10-16T00:31:04.655Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T00:31:04.655Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T00:31:04.655Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T00:31:04.655Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T00:31:04.655Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T00:31:04.655Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (56198.508 ms) ======
[2025-10-16T00:31:04.655Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-10-16T00:31:04.655Z] GC before operation: completed in 298.237 ms, heap usage 188.601 MB -> 89.159 MB.
[2025-10-16T00:31:11.434Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T00:31:18.270Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T00:31:23.697Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T00:31:30.462Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T00:31:33.581Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T00:31:36.640Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T00:31:40.839Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T00:31:43.909Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T00:31:44.898Z] 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.
[2025-10-16T00:31:44.898Z] The best model improves the baseline by 14.52%.
[2025-10-16T00:31:44.898Z] Top recommended movies for user id 72:
[2025-10-16T00:31:44.898Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T00:31:44.898Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T00:31:44.898Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T00:31:44.898Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T00:31:44.898Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T00:31:44.898Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (39975.740 ms) ======
[2025-10-16T00:31:44.898Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-10-16T00:31:44.898Z] GC before operation: completed in 360.471 ms, heap usage 171.716 MB -> 88.349 MB.
[2025-10-16T00:31:51.729Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T00:31:56.894Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T00:32:01.086Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T00:32:05.282Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T00:32:08.337Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T00:32:12.527Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T00:32:15.595Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T00:32:18.659Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T00:32:19.635Z] 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.
[2025-10-16T00:32:19.635Z] The best model improves the baseline by 14.52%.
[2025-10-16T00:32:19.635Z] Top recommended movies for user id 72:
[2025-10-16T00:32:19.636Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T00:32:19.636Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T00:32:19.636Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T00:32:19.636Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T00:32:19.636Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T00:32:19.636Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (34694.947 ms) ======
[2025-10-16T00:32:19.636Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-10-16T00:32:20.602Z] GC before operation: completed in 321.425 ms, heap usage 324.430 MB -> 89.111 MB.
[2025-10-16T00:32:26.046Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T00:32:31.468Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T00:32:37.039Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T00:32:42.486Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T00:32:46.713Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T00:32:49.777Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T00:32:52.822Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T00:32:56.603Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T00:32:56.603Z] 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.
[2025-10-16T00:32:56.603Z] The best model improves the baseline by 14.52%.
[2025-10-16T00:32:57.577Z] Top recommended movies for user id 72:
[2025-10-16T00:32:57.577Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T00:32:57.577Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T00:32:57.577Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T00:32:57.577Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T00:32:57.577Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T00:32:57.577Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (36989.631 ms) ======
[2025-10-16T00:32:57.577Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-10-16T00:32:57.577Z] GC before operation: completed in 335.668 ms, heap usage 498.589 MB -> 89.692 MB.
[2025-10-16T00:33:03.021Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T00:33:08.424Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T00:33:13.852Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T00:33:18.209Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T00:33:21.284Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T00:33:25.493Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T00:33:28.582Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T00:33:31.658Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T00:33:32.769Z] 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.
[2025-10-16T00:33:32.769Z] The best model improves the baseline by 14.52%.
[2025-10-16T00:33:32.769Z] Top recommended movies for user id 72:
[2025-10-16T00:33:32.769Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T00:33:32.769Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T00:33:32.769Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T00:33:32.769Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T00:33:32.769Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T00:33:32.769Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (35132.919 ms) ======
[2025-10-16T00:33:32.769Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-10-16T00:33:33.731Z] GC before operation: completed in 557.655 ms, heap usage 754.587 MB -> 93.173 MB.
[2025-10-16T00:33:40.590Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T00:33:45.453Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T00:33:50.955Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T00:33:56.499Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T00:34:01.996Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T00:34:03.401Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T00:34:06.546Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T00:34:09.657Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T00:34:09.657Z] 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.
[2025-10-16T00:34:10.615Z] The best model improves the baseline by 14.52%.
[2025-10-16T00:34:10.615Z] Top recommended movies for user id 72:
[2025-10-16T00:34:10.615Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T00:34:10.615Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T00:34:10.615Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T00:34:10.615Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T00:34:10.615Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T00:34:10.615Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (37098.107 ms) ======
[2025-10-16T00:34:10.615Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-10-16T00:34:10.615Z] GC before operation: completed in 342.397 ms, heap usage 253.308 MB -> 89.634 MB.
[2025-10-16T00:34:16.073Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T00:34:21.512Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T00:34:25.713Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T00:34:31.384Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T00:34:33.359Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T00:34:36.430Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T00:34:40.141Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T00:34:43.224Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T00:34:43.224Z] 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.
[2025-10-16T00:34:43.224Z] The best model improves the baseline by 14.52%.
[2025-10-16T00:34:43.224Z] Top recommended movies for user id 72:
[2025-10-16T00:34:43.224Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T00:34:43.224Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T00:34:43.224Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T00:34:43.224Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T00:34:43.224Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T00:34:43.224Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (32610.091 ms) ======
[2025-10-16T00:34:43.224Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-10-16T00:34:44.192Z] GC before operation: completed in 322.105 ms, heap usage 664.389 MB -> 93.295 MB.
[2025-10-16T00:34:49.630Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T00:34:53.991Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T00:34:59.439Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T00:35:05.042Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T00:35:08.161Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T00:35:11.231Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T00:35:14.294Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T00:35:17.367Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T00:35:17.367Z] 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.
[2025-10-16T00:35:17.367Z] The best model improves the baseline by 14.52%.
[2025-10-16T00:35:18.332Z] Top recommended movies for user id 72:
[2025-10-16T00:35:18.332Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T00:35:18.332Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T00:35:18.332Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T00:35:18.332Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T00:35:18.332Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T00:35:18.332Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (34387.864 ms) ======
[2025-10-16T00:35:18.332Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-10-16T00:35:18.332Z] GC before operation: completed in 308.488 ms, heap usage 353.029 MB -> 89.928 MB.
[2025-10-16T00:35:23.221Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T00:35:28.836Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T00:35:34.261Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T00:35:38.471Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T00:35:42.679Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T00:35:45.780Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T00:35:49.144Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T00:35:52.500Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T00:35:53.467Z] 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.
[2025-10-16T00:35:53.467Z] The best model improves the baseline by 14.52%.
[2025-10-16T00:35:53.467Z] Top recommended movies for user id 72:
[2025-10-16T00:35:53.467Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T00:35:53.467Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T00:35:53.467Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T00:35:53.467Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T00:35:53.467Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T00:35:53.467Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (34991.151 ms) ======
[2025-10-16T00:35:53.467Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-10-16T00:35:53.467Z] GC before operation: completed in 324.252 ms, heap usage 303.436 MB -> 89.763 MB.
[2025-10-16T00:35:59.106Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T00:36:03.427Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T00:36:06.484Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T00:36:10.676Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T00:36:13.715Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T00:36:15.701Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T00:36:18.771Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T00:36:22.562Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T00:36:22.562Z] 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.
[2025-10-16T00:36:22.562Z] The best model improves the baseline by 14.52%.
[2025-10-16T00:36:22.562Z] Top recommended movies for user id 72:
[2025-10-16T00:36:22.562Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T00:36:22.562Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T00:36:22.562Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T00:36:22.562Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T00:36:22.562Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T00:36:22.562Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (28383.145 ms) ======
[2025-10-16T00:36:22.562Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-10-16T00:36:22.562Z] GC before operation: completed in 301.498 ms, heap usage 176.704 MB -> 89.719 MB.
[2025-10-16T00:36:26.795Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T00:36:30.987Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T00:36:36.398Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T00:36:39.452Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T00:36:42.495Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T00:36:45.535Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T00:36:48.595Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T00:36:51.628Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T00:36:51.628Z] 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.
[2025-10-16T00:36:51.628Z] The best model improves the baseline by 14.52%.
[2025-10-16T00:36:51.628Z] Top recommended movies for user id 72:
[2025-10-16T00:36:51.628Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T00:36:51.628Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T00:36:51.628Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T00:36:51.628Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T00:36:51.628Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T00:36:51.628Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (29373.094 ms) ======
[2025-10-16T00:36:51.628Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-10-16T00:36:52.585Z] GC before operation: completed in 319.348 ms, heap usage 126.829 MB -> 92.274 MB.
[2025-10-16T00:36:56.820Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T00:37:01.008Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T00:37:06.585Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T00:37:10.776Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T00:37:12.749Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T00:37:15.454Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T00:37:18.533Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T00:37:20.497Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T00:37:21.455Z] 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.
[2025-10-16T00:37:21.455Z] The best model improves the baseline by 14.52%.
[2025-10-16T00:37:21.455Z] Top recommended movies for user id 72:
[2025-10-16T00:37:21.455Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T00:37:21.455Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T00:37:21.455Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T00:37:21.455Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T00:37:21.455Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T00:37:21.455Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (29430.805 ms) ======
[2025-10-16T00:37:21.455Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-10-16T00:37:21.455Z] GC before operation: completed in 294.443 ms, heap usage 197.933 MB -> 89.650 MB.
[2025-10-16T00:37:26.915Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T00:37:29.953Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T00:37:34.183Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T00:37:38.379Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T00:37:40.352Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T00:37:43.393Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T00:37:45.370Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T00:37:47.347Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T00:37:48.316Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-16T00:37:48.316Z] The best model improves the baseline by 14.52%.
[2025-10-16T00:37:48.316Z] Top recommended movies for user id 72:
[2025-10-16T00:37:48.316Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T00:37:48.316Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T00:37:48.316Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T00:37:48.316Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T00:37:48.316Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T00:37:48.316Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (26864.516 ms) ======
[2025-10-16T00:37:48.316Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-10-16T00:37:49.280Z] GC before operation: completed in 267.399 ms, heap usage 365.972 MB -> 90.007 MB.
[2025-10-16T00:37:53.453Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T00:37:57.658Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T00:38:03.096Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T00:38:07.282Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T00:38:09.994Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T00:38:13.058Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T00:38:16.124Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T00:38:18.101Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T00:38:18.101Z] 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.
[2025-10-16T00:38:18.101Z] The best model improves the baseline by 14.52%.
[2025-10-16T00:38:19.113Z] Top recommended movies for user id 72:
[2025-10-16T00:38:19.113Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T00:38:19.113Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T00:38:19.113Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T00:38:19.113Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T00:38:19.113Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T00:38:19.113Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (29807.588 ms) ======
[2025-10-16T00:38:19.113Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-10-16T00:38:19.113Z] GC before operation: completed in 277.787 ms, heap usage 252.272 MB -> 89.737 MB.
[2025-10-16T00:38:23.311Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T00:38:27.495Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T00:38:31.808Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T00:38:36.004Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T00:38:39.069Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T00:38:42.148Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T00:38:45.188Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T00:38:48.271Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T00:38:48.271Z] 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.
[2025-10-16T00:38:48.271Z] The best model improves the baseline by 14.52%.
[2025-10-16T00:38:48.271Z] Top recommended movies for user id 72:
[2025-10-16T00:38:48.271Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T00:38:48.271Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T00:38:48.271Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T00:38:48.271Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T00:38:48.271Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T00:38:48.271Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (29627.793 ms) ======
[2025-10-16T00:38:48.271Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-10-16T00:38:49.543Z] GC before operation: completed in 375.770 ms, heap usage 359.344 MB -> 90.086 MB.
[2025-10-16T00:38:55.245Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T00:38:59.461Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T00:39:04.325Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T00:39:08.719Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T00:39:11.764Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T00:39:14.820Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T00:39:19.196Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T00:39:22.240Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T00:39:22.240Z] 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.
[2025-10-16T00:39:22.240Z] The best model improves the baseline by 14.52%.
[2025-10-16T00:39:22.240Z] Top recommended movies for user id 72:
[2025-10-16T00:39:22.240Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T00:39:22.240Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T00:39:22.240Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T00:39:22.240Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T00:39:22.240Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T00:39:22.240Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (33583.699 ms) ======
[2025-10-16T00:39:22.240Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-10-16T00:39:23.203Z] GC before operation: completed in 323.757 ms, heap usage 333.449 MB -> 89.875 MB.
[2025-10-16T00:39:27.403Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T00:39:32.912Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T00:39:37.120Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T00:39:41.356Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T00:39:44.394Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T00:39:47.439Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T00:39:50.477Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T00:39:53.535Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T00:39:53.535Z] 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.
[2025-10-16T00:39:53.535Z] The best model improves the baseline by 14.52%.
[2025-10-16T00:39:54.501Z] Top recommended movies for user id 72:
[2025-10-16T00:39:54.501Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T00:39:54.501Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T00:39:54.501Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T00:39:54.501Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T00:39:54.501Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T00:39:54.501Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (31107.403 ms) ======
[2025-10-16T00:39:54.501Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-10-16T00:39:54.501Z] GC before operation: completed in 326.399 ms, heap usage 344.728 MB -> 90.082 MB.
[2025-10-16T00:39:59.942Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T00:40:03.778Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T00:40:07.967Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T00:40:13.386Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T00:40:15.359Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T00:40:18.408Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T00:40:21.457Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T00:40:24.513Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T00:40:24.513Z] 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.
[2025-10-16T00:40:24.513Z] The best model improves the baseline by 14.52%.
[2025-10-16T00:40:25.479Z] Top recommended movies for user id 72:
[2025-10-16T00:40:25.479Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T00:40:25.480Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T00:40:25.480Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T00:40:25.480Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T00:40:25.480Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T00:40:25.480Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (30737.832 ms) ======
[2025-10-16T00:40:25.480Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-10-16T00:40:25.480Z] GC before operation: completed in 329.020 ms, heap usage 489.824 MB -> 90.012 MB.
[2025-10-16T00:40:31.088Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T00:40:35.300Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T00:40:39.492Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T00:40:44.927Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T00:40:46.904Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T00:40:49.940Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T00:40:53.002Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T00:40:56.786Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T00:40:56.786Z] 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.
[2025-10-16T00:40:56.786Z] The best model improves the baseline by 14.52%.
[2025-10-16T00:40:56.786Z] Top recommended movies for user id 72:
[2025-10-16T00:40:56.786Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T00:40:56.786Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T00:40:56.786Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T00:40:56.786Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T00:40:56.786Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T00:40:56.786Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (31170.551 ms) ======
[2025-10-16T00:40:56.786Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-10-16T00:40:56.786Z] GC before operation: completed in 333.211 ms, heap usage 225.138 MB -> 89.827 MB.
[2025-10-16T00:41:02.285Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T00:41:07.714Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T00:41:11.915Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T00:41:16.180Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T00:41:19.326Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T00:41:22.375Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T00:41:25.450Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T00:41:28.606Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T00:41:29.567Z] 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.
[2025-10-16T00:41:29.567Z] The best model improves the baseline by 14.52%.
[2025-10-16T00:41:29.567Z] Top recommended movies for user id 72:
[2025-10-16T00:41:29.567Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-16T00:41:29.567Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-16T00:41:29.567Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-16T00:41:29.567Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-16T00:41:29.567Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-16T00:41:29.567Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (32434.207 ms) ======
[2025-10-16T00:41:32.608Z] -----------------------------------
[2025-10-16T00:41:32.608Z] renaissance-movie-lens_0_PASSED
[2025-10-16T00:41:32.608Z] -----------------------------------
[2025-10-16T00:41:32.608Z]
[2025-10-16T00:41:32.608Z] TEST TEARDOWN:
[2025-10-16T00:41:32.608Z] Nothing to be done for teardown.
[2025-10-16T00:41:32.608Z] renaissance-movie-lens_0 Finish Time: Thu Oct 16 00:41:31 2025 Epoch Time (ms): 1760575291625