renaissance-movie-lens_0
[2026-01-12T15:46:24.601Z] Running test renaissance-movie-lens_0 ...
[2026-01-12T15:46:24.601Z] ===============================================
[2026-01-12T15:46:24.601Z] renaissance-movie-lens_0 Start Time: Mon Jan 12 15:46:24 2026 Epoch Time (ms): 1768232784007
[2026-01-12T15:46:24.601Z] variation: NoOptions
[2026-01-12T15:46:24.601Z] JVM_OPTIONS:
[2026-01-12T15:46:24.601Z] { \
[2026-01-12T15:46:24.601Z] echo ""; echo "TEST SETUP:"; \
[2026-01-12T15:46:24.601Z] echo "Nothing to be done for setup."; \
[2026-01-12T15:46:24.601Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17682315601318/renaissance-movie-lens_0"; \
[2026-01-12T15:46:24.601Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17682315601318/renaissance-movie-lens_0"; \
[2026-01-12T15:46:24.601Z] echo ""; echo "TESTING:"; \
[2026-01-12T15:46:24.601Z] "/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_17682315601318/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-12T15:46:24.601Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17682315601318/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-12T15:46:24.601Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-12T15:46:24.601Z] echo "Nothing to be done for teardown."; \
[2026-01-12T15:46:24.601Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17682315601318/TestTargetResult";
[2026-01-12T15:46:24.601Z]
[2026-01-12T15:46:24.601Z] TEST SETUP:
[2026-01-12T15:46:24.601Z] Nothing to be done for setup.
[2026-01-12T15:46:24.601Z]
[2026-01-12T15:46:24.601Z] TESTING:
[2026-01-12T15:46:25.368Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-01-12T15:46:25.368Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17682315601318/renaissance-movie-lens_0/launcher-154624-12147707551155574565/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-01-12T15:46:25.368Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-01-12T15:46:25.368Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-01-12T15:46:30.335Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-01-12T15:46:37.274Z] 15:46:36.448 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-01-12T15:46:38.863Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-12T15:46:39.633Z] Training: 60056, validation: 20285, test: 19854
[2026-01-12T15:46:39.633Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-12T15:46:39.633Z] GC before operation: completed in 130.311 ms, heap usage 219.256 MB -> 75.741 MB.
[2026-01-12T15:46:47.935Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-12T15:46:52.407Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-12T15:46:55.840Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-12T15:46:59.255Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-12T15:47:00.842Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-12T15:47:03.322Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-12T15:47:04.916Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-12T15:47:06.511Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-12T15:47:07.281Z] 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.
[2026-01-12T15:47:07.281Z] The best model improves the baseline by 14.52%.
[2026-01-12T15:47:07.281Z] Top recommended movies for user id 72:
[2026-01-12T15:47:07.281Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-12T15:47:07.281Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-12T15:47:07.281Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-12T15:47:07.281Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-12T15:47:07.281Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-12T15:47:07.281Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (27620.820 ms) ======
[2026-01-12T15:47:07.281Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-12T15:47:07.281Z] GC before operation: completed in 136.061 ms, heap usage 435.028 MB -> 86.732 MB.
[2026-01-12T15:47:10.718Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-12T15:47:14.145Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-12T15:47:16.613Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-12T15:47:19.602Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-12T15:47:21.193Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-12T15:47:22.784Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-12T15:47:24.375Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-12T15:47:25.971Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-12T15:47:26.737Z] 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.
[2026-01-12T15:47:26.737Z] The best model improves the baseline by 14.52%.
[2026-01-12T15:47:26.737Z] Top recommended movies for user id 72:
[2026-01-12T15:47:26.737Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-12T15:47:26.737Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-12T15:47:26.738Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-12T15:47:26.738Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-12T15:47:26.738Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-12T15:47:26.738Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19176.305 ms) ======
[2026-01-12T15:47:26.738Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-12T15:47:26.738Z] GC before operation: completed in 128.466 ms, heap usage 311.504 MB -> 88.826 MB.
[2026-01-12T15:47:30.167Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-12T15:47:32.647Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-12T15:47:36.081Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-12T15:47:38.543Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-12T15:47:40.139Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-12T15:47:41.741Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-12T15:47:44.214Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-12T15:47:44.982Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-12T15:47:45.758Z] 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.
[2026-01-12T15:47:45.758Z] The best model improves the baseline by 14.52%.
[2026-01-12T15:47:45.758Z] Top recommended movies for user id 72:
[2026-01-12T15:47:45.758Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-12T15:47:45.758Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-12T15:47:45.758Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-12T15:47:45.758Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-12T15:47:45.758Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-12T15:47:45.758Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18903.894 ms) ======
[2026-01-12T15:47:45.758Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-12T15:47:45.758Z] GC before operation: completed in 114.783 ms, heap usage 419.309 MB -> 89.347 MB.
[2026-01-12T15:47:48.239Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-12T15:47:50.712Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-12T15:47:54.139Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-12T15:47:55.732Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-12T15:47:57.324Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-12T15:47:58.916Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-12T15:48:00.507Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-12T15:48:02.096Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-12T15:48:02.096Z] 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.
[2026-01-12T15:48:02.096Z] The best model improves the baseline by 14.52%.
[2026-01-12T15:48:02.096Z] Top recommended movies for user id 72:
[2026-01-12T15:48:02.096Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-12T15:48:02.096Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-12T15:48:02.096Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-12T15:48:02.096Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-12T15:48:02.096Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-12T15:48:02.096Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16495.359 ms) ======
[2026-01-12T15:48:02.096Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-12T15:48:02.864Z] GC before operation: completed in 132.141 ms, heap usage 199.500 MB -> 89.551 MB.
[2026-01-12T15:48:05.338Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-12T15:48:07.481Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-12T15:48:09.952Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-12T15:48:13.381Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-12T15:48:14.976Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-12T15:48:16.570Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-12T15:48:18.165Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-12T15:48:19.760Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-12T15:48:20.532Z] 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.
[2026-01-12T15:48:20.532Z] The best model improves the baseline by 14.52%.
[2026-01-12T15:48:20.532Z] Top recommended movies for user id 72:
[2026-01-12T15:48:20.532Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-12T15:48:20.532Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-12T15:48:20.532Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-12T15:48:20.532Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-12T15:48:20.532Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-12T15:48:20.532Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17907.543 ms) ======
[2026-01-12T15:48:20.532Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-12T15:48:20.532Z] GC before operation: completed in 121.455 ms, heap usage 103.440 MB -> 91.375 MB.
[2026-01-12T15:48:23.006Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-12T15:48:26.419Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-12T15:48:28.913Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-12T15:48:31.375Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-12T15:48:32.967Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-12T15:48:34.558Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-12T15:48:36.147Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-12T15:48:37.738Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-12T15:48:37.738Z] 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.
[2026-01-12T15:48:37.738Z] The best model improves the baseline by 14.52%.
[2026-01-12T15:48:37.738Z] Top recommended movies for user id 72:
[2026-01-12T15:48:37.738Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-12T15:48:37.738Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-12T15:48:37.738Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-12T15:48:37.738Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-12T15:48:37.738Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-12T15:48:37.738Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (17553.458 ms) ======
[2026-01-12T15:48:37.738Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-12T15:48:38.506Z] GC before operation: completed in 119.620 ms, heap usage 116.091 MB -> 89.694 MB.
[2026-01-12T15:48:40.979Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-12T15:48:43.455Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-12T15:48:45.924Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-12T15:48:48.384Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-12T15:48:49.156Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-12T15:48:50.750Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-12T15:48:52.856Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-12T15:48:54.443Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-12T15:48:54.443Z] 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.
[2026-01-12T15:48:54.443Z] The best model improves the baseline by 14.52%.
[2026-01-12T15:48:54.443Z] Top recommended movies for user id 72:
[2026-01-12T15:48:54.443Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-12T15:48:54.443Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-12T15:48:54.443Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-12T15:48:54.443Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-12T15:48:54.443Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-12T15:48:54.443Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16396.506 ms) ======
[2026-01-12T15:48:54.443Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-12T15:48:54.443Z] GC before operation: completed in 126.908 ms, heap usage 370.743 MB -> 89.980 MB.
[2026-01-12T15:48:56.917Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-12T15:49:00.350Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-12T15:49:02.825Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-12T15:49:05.292Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-12T15:49:06.969Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-12T15:49:07.738Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-12T15:49:09.331Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-12T15:49:10.946Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-12T15:49:11.724Z] 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.
[2026-01-12T15:49:11.724Z] The best model improves the baseline by 14.52%.
[2026-01-12T15:49:11.724Z] Top recommended movies for user id 72:
[2026-01-12T15:49:11.724Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-12T15:49:11.724Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-12T15:49:11.724Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-12T15:49:11.724Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-12T15:49:11.724Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-12T15:49:11.724Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16852.658 ms) ======
[2026-01-12T15:49:11.724Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-12T15:49:11.724Z] GC before operation: completed in 129.687 ms, heap usage 390.852 MB -> 90.241 MB.
[2026-01-12T15:49:14.204Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-12T15:49:16.676Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-12T15:49:20.092Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-12T15:49:22.568Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-12T15:49:24.157Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-12T15:49:25.750Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-12T15:49:26.527Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-12T15:49:28.115Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-12T15:49:28.882Z] 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.
[2026-01-12T15:49:28.882Z] The best model improves the baseline by 14.52%.
[2026-01-12T15:49:28.882Z] Top recommended movies for user id 72:
[2026-01-12T15:49:28.882Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-12T15:49:28.882Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-12T15:49:28.882Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-12T15:49:28.882Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-12T15:49:28.882Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-12T15:49:28.882Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (17101.661 ms) ======
[2026-01-12T15:49:28.882Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-12T15:49:28.882Z] GC before operation: completed in 133.738 ms, heap usage 405.850 MB -> 89.931 MB.
[2026-01-12T15:49:31.354Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-12T15:49:34.771Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-12T15:49:37.775Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-12T15:49:39.362Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-12T15:49:40.948Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-12T15:49:42.538Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-12T15:49:44.122Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-12T15:49:45.710Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-12T15:49:45.710Z] 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.
[2026-01-12T15:49:46.481Z] The best model improves the baseline by 14.52%.
[2026-01-12T15:49:46.481Z] Top recommended movies for user id 72:
[2026-01-12T15:49:46.481Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-12T15:49:46.481Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-12T15:49:46.481Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-12T15:49:46.481Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-12T15:49:46.481Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-12T15:49:46.481Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (17274.847 ms) ======
[2026-01-12T15:49:46.481Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-12T15:49:46.481Z] GC before operation: completed in 112.473 ms, heap usage 116.543 MB -> 89.816 MB.
[2026-01-12T15:49:48.955Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-12T15:49:51.430Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-12T15:49:53.902Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-12T15:49:56.381Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-12T15:49:57.969Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-12T15:49:59.573Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-12T15:50:01.163Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-12T15:50:02.761Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-12T15:50:02.761Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-12T15:50:02.761Z] The best model improves the baseline by 14.52%.
[2026-01-12T15:50:02.761Z] Top recommended movies for user id 72:
[2026-01-12T15:50:02.761Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-12T15:50:02.761Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-12T15:50:02.761Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-12T15:50:02.761Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-12T15:50:02.761Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-12T15:50:02.761Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16748.327 ms) ======
[2026-01-12T15:50:02.761Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-12T15:50:03.527Z] GC before operation: completed in 112.219 ms, heap usage 369.142 MB -> 89.926 MB.
[2026-01-12T15:50:05.998Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-12T15:50:08.480Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-12T15:50:13.006Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-12T15:50:22.028Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-12T15:50:22.803Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-12T15:50:24.389Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-12T15:50:26.502Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-12T15:50:27.284Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-12T15:50:27.284Z] 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.
[2026-01-12T15:50:27.284Z] The best model improves the baseline by 14.52%.
[2026-01-12T15:50:27.284Z] Top recommended movies for user id 72:
[2026-01-12T15:50:27.284Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-12T15:50:27.284Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-12T15:50:27.284Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-12T15:50:27.284Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-12T15:50:27.284Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-12T15:50:27.284Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (24215.044 ms) ======
[2026-01-12T15:50:27.284Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-12T15:50:27.285Z] GC before operation: completed in 122.986 ms, heap usage 536.450 MB -> 90.325 MB.
[2026-01-12T15:50:33.154Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-12T15:50:35.622Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-12T15:50:38.100Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-12T15:50:40.576Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-12T15:50:42.172Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-12T15:50:43.769Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-12T15:50:45.361Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-12T15:50:46.959Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-12T15:50:46.959Z] 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.
[2026-01-12T15:50:46.959Z] The best model improves the baseline by 14.52%.
[2026-01-12T15:50:46.959Z] Top recommended movies for user id 72:
[2026-01-12T15:50:46.959Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-12T15:50:46.959Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-12T15:50:46.959Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-12T15:50:46.959Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-12T15:50:46.959Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-12T15:50:46.959Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19657.064 ms) ======
[2026-01-12T15:50:46.959Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-12T15:50:46.959Z] GC before operation: completed in 129.957 ms, heap usage 425.950 MB -> 90.288 MB.
[2026-01-12T15:50:50.387Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-12T15:50:52.861Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-12T15:50:55.335Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-12T15:50:56.928Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-12T15:50:58.514Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-12T15:51:00.106Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-12T15:51:01.696Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-12T15:51:03.290Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-12T15:51:03.290Z] 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.
[2026-01-12T15:51:03.290Z] The best model improves the baseline by 14.52%.
[2026-01-12T15:51:04.189Z] Top recommended movies for user id 72:
[2026-01-12T15:51:04.190Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-12T15:51:04.190Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-12T15:51:04.190Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-12T15:51:04.190Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-12T15:51:04.190Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-12T15:51:04.190Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (16379.776 ms) ======
[2026-01-12T15:51:04.190Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-12T15:51:04.190Z] GC before operation: completed in 123.077 ms, heap usage 445.218 MB -> 90.252 MB.
[2026-01-12T15:51:06.664Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-12T15:51:09.135Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-12T15:51:11.614Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-12T15:51:13.731Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-12T15:51:15.330Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-12T15:51:16.930Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-12T15:51:18.523Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-12T15:51:20.121Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-12T15:51:20.121Z] 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.
[2026-01-12T15:51:20.121Z] The best model improves the baseline by 14.52%.
[2026-01-12T15:51:20.121Z] Top recommended movies for user id 72:
[2026-01-12T15:51:20.121Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-12T15:51:20.121Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-12T15:51:20.121Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-12T15:51:20.121Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-12T15:51:20.121Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-12T15:51:20.121Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (16395.286 ms) ======
[2026-01-12T15:51:20.121Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-12T15:51:20.121Z] GC before operation: completed in 127.863 ms, heap usage 390.824 MB -> 90.356 MB.
[2026-01-12T15:51:22.588Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-12T15:51:25.049Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-12T15:51:27.524Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-12T15:51:29.993Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-12T15:51:31.598Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-12T15:51:33.188Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-12T15:51:34.772Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-12T15:51:36.365Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-12T15:51:36.365Z] 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.
[2026-01-12T15:51:36.365Z] The best model improves the baseline by 14.52%.
[2026-01-12T15:51:36.365Z] Top recommended movies for user id 72:
[2026-01-12T15:51:36.365Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-12T15:51:36.365Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-12T15:51:36.365Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-12T15:51:36.365Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-12T15:51:36.365Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-12T15:51:36.365Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (16240.595 ms) ======
[2026-01-12T15:51:36.365Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-12T15:51:36.365Z] GC before operation: completed in 118.820 ms, heap usage 570.940 MB -> 93.620 MB.
[2026-01-12T15:51:39.788Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-12T15:51:42.264Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-12T15:51:44.749Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-12T15:51:47.226Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-12T15:51:47.999Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-12T15:51:49.594Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-12T15:51:51.189Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-12T15:51:52.783Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-12T15:51:53.552Z] 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.
[2026-01-12T15:51:53.552Z] The best model improves the baseline by 14.52%.
[2026-01-12T15:51:53.552Z] Top recommended movies for user id 72:
[2026-01-12T15:51:53.552Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-12T15:51:53.552Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-12T15:51:53.552Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-12T15:51:53.552Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-12T15:51:53.552Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-12T15:51:53.552Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (16702.148 ms) ======
[2026-01-12T15:51:53.552Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-12T15:51:53.552Z] GC before operation: completed in 111.972 ms, heap usage 248.345 MB -> 90.105 MB.
[2026-01-12T15:51:56.025Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-12T15:51:58.498Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-12T15:52:00.981Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-12T15:52:03.973Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-12T15:52:05.564Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-12T15:52:07.161Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-12T15:52:07.938Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-12T15:52:09.530Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-12T15:52:10.302Z] 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.
[2026-01-12T15:52:10.302Z] The best model improves the baseline by 14.52%.
[2026-01-12T15:52:10.302Z] Top recommended movies for user id 72:
[2026-01-12T15:52:10.302Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-12T15:52:10.302Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-12T15:52:10.302Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-12T15:52:10.302Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-12T15:52:10.302Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-12T15:52:10.302Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (16573.350 ms) ======
[2026-01-12T15:52:10.302Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-12T15:52:10.302Z] GC before operation: completed in 113.395 ms, heap usage 117.748 MB -> 89.763 MB.
[2026-01-12T15:52:12.771Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-12T15:52:15.240Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-12T15:52:17.718Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-12T15:52:19.322Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-12T15:52:20.912Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-12T15:52:22.499Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-12T15:52:24.088Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-12T15:52:25.686Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-12T15:52:25.686Z] 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.
[2026-01-12T15:52:25.686Z] The best model improves the baseline by 14.52%.
[2026-01-12T15:52:25.686Z] Top recommended movies for user id 72:
[2026-01-12T15:52:25.686Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-12T15:52:25.686Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-12T15:52:25.686Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-12T15:52:25.686Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-12T15:52:25.686Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-12T15:52:25.686Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15568.863 ms) ======
[2026-01-12T15:52:25.686Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-12T15:52:25.686Z] GC before operation: completed in 127.238 ms, heap usage 241.158 MB -> 89.956 MB.
[2026-01-12T15:52:28.157Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-12T15:52:30.636Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-12T15:52:33.157Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-12T15:52:35.655Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-12T15:52:37.243Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-12T15:52:38.838Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-12T15:52:40.434Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-12T15:52:41.207Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-12T15:52:41.978Z] 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.
[2026-01-12T15:52:41.978Z] The best model improves the baseline by 14.52%.
[2026-01-12T15:52:41.978Z] Top recommended movies for user id 72:
[2026-01-12T15:52:41.978Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-12T15:52:41.978Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-12T15:52:41.979Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-12T15:52:41.979Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-12T15:52:41.979Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-12T15:52:41.979Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (16056.294 ms) ======
[2026-01-12T15:52:42.747Z] -----------------------------------
[2026-01-12T15:52:42.747Z] renaissance-movie-lens_0_PASSED
[2026-01-12T15:52:42.747Z] -----------------------------------
[2026-01-12T15:52:42.747Z]
[2026-01-12T15:52:42.747Z] TEST TEARDOWN:
[2026-01-12T15:52:42.747Z] Nothing to be done for teardown.
[2026-01-12T15:52:42.747Z] renaissance-movie-lens_0 Finish Time: Mon Jan 12 15:52:41 2026 Epoch Time (ms): 1768233161961