renaissance-movie-lens_0
[2026-02-20T08:15:48.996Z] Running test renaissance-movie-lens_0 ...
[2026-02-20T08:15:48.996Z] ===============================================
[2026-02-20T08:15:48.996Z] renaissance-movie-lens_0 Start Time: Fri Feb 20 08:15:47 2026 Epoch Time (ms): 1771575347917
[2026-02-20T08:15:48.996Z] variation: NoOptions
[2026-02-20T08:15:48.996Z] JVM_OPTIONS:
[2026-02-20T08:15:48.996Z] { \
[2026-02-20T08:15:48.996Z] echo ""; echo "TEST SETUP:"; \
[2026-02-20T08:15:48.996Z] echo "Nothing to be done for setup."; \
[2026-02-20T08:15:48.996Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17715742369883/renaissance-movie-lens_0"; \
[2026-02-20T08:15:48.996Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17715742369883/renaissance-movie-lens_0"; \
[2026-02-20T08:15:48.996Z] echo ""; echo "TESTING:"; \
[2026-02-20T08:15:48.996Z] "/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_17715742369883/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-20T08:15:48.996Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17715742369883/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-20T08:15:48.996Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-20T08:15:48.996Z] echo "Nothing to be done for teardown."; \
[2026-02-20T08:15:48.996Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17715742369883/TestTargetResult";
[2026-02-20T08:15:48.996Z]
[2026-02-20T08:15:48.996Z] TEST SETUP:
[2026-02-20T08:15:48.996Z] Nothing to be done for setup.
[2026-02-20T08:15:48.996Z]
[2026-02-20T08:15:48.996Z] TESTING:
[2026-02-20T08:15:48.996Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-20T08:15:48.996Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17715742369883/renaissance-movie-lens_0/launcher-081548-4444349454426085136/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-20T08:15:48.996Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-20T08:15:48.996Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-20T08:15:58.137Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-20T08:16:14.683Z] 08:16:12.835 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-20T08:16:16.276Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-20T08:16:17.048Z] Training: 60056, validation: 20285, test: 19854
[2026-02-20T08:16:17.048Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-20T08:16:17.048Z] GC before operation: completed in 228.977 ms, heap usage 133.603 MB -> 75.778 MB.
[2026-02-20T08:16:30.850Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:16:36.500Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:16:44.777Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:16:53.103Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:16:55.579Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:16:58.994Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:17:06.080Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:17:10.512Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:17:11.289Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-20T08:17:11.289Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:17:11.289Z] Top recommended movies for user id 72:
[2026-02-20T08:17:11.289Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:17:11.289Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:17:11.289Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:17:11.289Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:17:11.289Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:17:11.289Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (54495.105 ms) ======
[2026-02-20T08:17:11.289Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-20T08:17:12.053Z] GC before operation: completed in 210.512 ms, heap usage 177.435 MB -> 86.260 MB.
[2026-02-20T08:17:16.506Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:17:21.092Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:17:33.896Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:17:38.373Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:17:40.841Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:17:50.666Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:17:53.139Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:17:55.624Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:17:56.406Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-20T08:17:56.406Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:17:56.406Z] Top recommended movies for user id 72:
[2026-02-20T08:17:56.406Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:17:56.406Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:17:56.406Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:17:56.406Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:17:56.406Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:17:56.406Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (44761.068 ms) ======
[2026-02-20T08:17:56.406Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-20T08:17:57.172Z] GC before operation: completed in 327.389 ms, heap usage 176.657 MB -> 88.430 MB.
[2026-02-20T08:18:01.662Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:18:10.439Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:18:14.885Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:18:19.367Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:18:22.860Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:18:29.694Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:18:32.175Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:18:35.600Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:18:35.600Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-20T08:18:35.600Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:18:35.600Z] Top recommended movies for user id 72:
[2026-02-20T08:18:35.600Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:18:35.600Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:18:35.600Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:18:35.600Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:18:35.600Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:18:35.600Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (38925.862 ms) ======
[2026-02-20T08:18:35.600Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-20T08:18:36.370Z] GC before operation: completed in 222.754 ms, heap usage 125.817 MB -> 89.148 MB.
[2026-02-20T08:18:40.833Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:18:44.244Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:18:48.711Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:18:52.140Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:18:54.606Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:18:57.076Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:19:00.501Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:19:02.991Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:19:02.991Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-20T08:19:02.991Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:19:02.991Z] Top recommended movies for user id 72:
[2026-02-20T08:19:02.991Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:19:02.991Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:19:02.991Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:19:02.991Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:19:02.991Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:19:02.991Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (27309.398 ms) ======
[2026-02-20T08:19:02.991Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-20T08:19:03.766Z] GC before operation: completed in 251.815 ms, heap usage 338.435 MB -> 89.527 MB.
[2026-02-20T08:19:08.241Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:19:12.710Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:19:17.166Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:19:20.575Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:19:23.997Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:19:26.458Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:19:28.919Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:19:31.397Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:19:31.397Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-20T08:19:31.397Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:19:32.163Z] Top recommended movies for user id 72:
[2026-02-20T08:19:32.163Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:19:32.163Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:19:32.164Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:19:32.164Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:19:32.164Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:19:32.164Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (28487.554 ms) ======
[2026-02-20T08:19:32.164Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-20T08:19:32.164Z] GC before operation: completed in 262.292 ms, heap usage 350.343 MB -> 89.579 MB.
[2026-02-20T08:19:36.600Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:19:41.056Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:19:45.018Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:19:49.489Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:19:51.080Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:19:53.545Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:19:56.948Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:19:59.419Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:19:59.419Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-20T08:19:59.419Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:19:59.419Z] Top recommended movies for user id 72:
[2026-02-20T08:19:59.419Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:19:59.419Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:19:59.419Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:19:59.419Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:19:59.419Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:19:59.419Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (27416.184 ms) ======
[2026-02-20T08:19:59.419Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-20T08:20:00.188Z] GC before operation: completed in 251.886 ms, heap usage 293.774 MB -> 89.794 MB.
[2026-02-20T08:20:04.630Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:20:08.030Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:20:12.481Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:20:15.936Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:20:18.396Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:20:20.867Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:20:23.451Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:20:25.914Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:20:26.681Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-20T08:20:26.681Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:20:26.681Z] Top recommended movies for user id 72:
[2026-02-20T08:20:26.681Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:20:26.681Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:20:26.681Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:20:26.681Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:20:26.681Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:20:26.681Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (26592.881 ms) ======
[2026-02-20T08:20:26.681Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-20T08:20:26.681Z] GC before operation: completed in 182.061 ms, heap usage 370.323 MB -> 89.782 MB.
[2026-02-20T08:20:31.143Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:20:35.604Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:20:39.039Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:20:43.491Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:20:45.955Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:20:48.415Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:20:50.892Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:20:53.362Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:20:53.362Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-20T08:20:53.362Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:20:54.135Z] Top recommended movies for user id 72:
[2026-02-20T08:20:54.135Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:20:54.135Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:20:54.135Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:20:54.135Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:20:54.135Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:20:54.135Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (27130.504 ms) ======
[2026-02-20T08:20:54.135Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-20T08:20:54.135Z] GC before operation: completed in 234.051 ms, heap usage 431.848 MB -> 90.120 MB.
[2026-02-20T08:20:58.585Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:21:03.034Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:21:06.453Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:21:10.899Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:21:13.361Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:21:15.825Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:21:18.311Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:21:20.933Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:21:20.933Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-20T08:21:20.933Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:21:21.707Z] Top recommended movies for user id 72:
[2026-02-20T08:21:21.707Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:21:21.707Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:21:21.707Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:21:21.707Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:21:21.707Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:21:21.708Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (27287.319 ms) ======
[2026-02-20T08:21:21.708Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-20T08:21:21.708Z] GC before operation: completed in 183.327 ms, heap usage 203.080 MB -> 89.705 MB.
[2026-02-20T08:21:26.159Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:21:30.632Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:21:34.056Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:21:38.518Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:21:40.990Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:21:43.457Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:21:45.935Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:21:48.407Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:21:48.407Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-20T08:21:48.407Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:21:48.407Z] Top recommended movies for user id 72:
[2026-02-20T08:21:48.407Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:21:48.407Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:21:48.407Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:21:48.407Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:21:48.407Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:21:48.407Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (26992.835 ms) ======
[2026-02-20T08:21:48.407Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-20T08:21:49.176Z] GC before operation: completed in 196.739 ms, heap usage 163.551 MB -> 89.887 MB.
[2026-02-20T08:21:53.628Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:21:57.052Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:22:01.538Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:22:06.006Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:22:07.598Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:22:11.012Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:22:13.485Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:22:15.954Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:22:15.954Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-20T08:22:15.954Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:22:15.954Z] Top recommended movies for user id 72:
[2026-02-20T08:22:15.954Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:22:15.954Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:22:15.954Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:22:15.954Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:22:15.954Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:22:15.954Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (27363.149 ms) ======
[2026-02-20T08:22:15.954Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-20T08:22:16.719Z] GC before operation: completed in 257.412 ms, heap usage 424.835 MB -> 89.947 MB.
[2026-02-20T08:22:20.265Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:22:24.808Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:22:28.221Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:22:31.621Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:22:34.078Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:22:36.562Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:22:39.013Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:22:41.475Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:22:41.475Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-20T08:22:41.475Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:22:42.237Z] Top recommended movies for user id 72:
[2026-02-20T08:22:42.237Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:22:42.237Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:22:42.237Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:22:42.237Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:22:42.237Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:22:42.237Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (25591.863 ms) ======
[2026-02-20T08:22:42.237Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-20T08:22:42.237Z] GC before operation: completed in 317.858 ms, heap usage 401.447 MB -> 90.096 MB.
[2026-02-20T08:22:46.679Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:22:51.144Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:22:55.107Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:22:59.547Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:23:02.008Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:23:04.474Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:23:06.944Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:23:09.396Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:23:10.170Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-20T08:23:10.170Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:23:10.170Z] Top recommended movies for user id 72:
[2026-02-20T08:23:10.170Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:23:10.170Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:23:10.170Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:23:10.170Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:23:10.170Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:23:10.170Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (28075.374 ms) ======
[2026-02-20T08:23:10.170Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-20T08:23:10.934Z] GC before operation: completed in 213.452 ms, heap usage 368.982 MB -> 90.157 MB.
[2026-02-20T08:23:14.354Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:23:18.807Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:23:22.226Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:23:26.674Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:23:29.143Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:23:31.605Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:23:34.056Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:23:36.514Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:23:36.514Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-20T08:23:36.514Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:23:36.514Z] Top recommended movies for user id 72:
[2026-02-20T08:23:36.514Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:23:36.514Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:23:36.514Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:23:36.514Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:23:36.514Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:23:36.514Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (26045.207 ms) ======
[2026-02-20T08:23:36.514Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-20T08:23:37.281Z] GC before operation: completed in 217.862 ms, heap usage 165.692 MB -> 89.718 MB.
[2026-02-20T08:23:40.702Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:23:45.150Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:23:49.596Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:23:53.046Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:23:56.454Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:23:58.924Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:24:01.382Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:24:08.220Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:24:08.221Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-20T08:24:08.221Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:24:08.221Z] Top recommended movies for user id 72:
[2026-02-20T08:24:08.221Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:24:08.221Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:24:08.221Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:24:08.221Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:24:08.221Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:24:08.221Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (31632.605 ms) ======
[2026-02-20T08:24:08.221Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-20T08:24:08.993Z] GC before operation: completed in 247.149 ms, heap usage 378.129 MB -> 90.209 MB.
[2026-02-20T08:24:17.368Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:24:20.780Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:24:24.808Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:24:29.289Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:24:30.879Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:24:34.316Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:24:36.925Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:24:39.401Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:24:39.401Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-20T08:24:39.401Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:24:39.401Z] Top recommended movies for user id 72:
[2026-02-20T08:24:39.401Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:24:39.401Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:24:39.401Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:24:39.401Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:24:39.401Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:24:39.401Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (30896.948 ms) ======
[2026-02-20T08:24:39.401Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-20T08:24:40.167Z] GC before operation: completed in 206.863 ms, heap usage 338.642 MB -> 89.971 MB.
[2026-02-20T08:24:43.563Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:24:48.004Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:24:52.447Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:24:55.866Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:24:58.325Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:25:00.783Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:25:03.242Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:25:05.704Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:25:05.704Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-20T08:25:05.704Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:25:05.704Z] Top recommended movies for user id 72:
[2026-02-20T08:25:05.704Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:25:05.704Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:25:05.704Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:25:05.704Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:25:05.704Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:25:05.704Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (25955.093 ms) ======
[2026-02-20T08:25:05.704Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-20T08:25:06.467Z] GC before operation: completed in 223.038 ms, heap usage 226.788 MB -> 89.995 MB.
[2026-02-20T08:25:09.922Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:25:14.377Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:25:17.796Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:25:21.210Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:25:23.722Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:25:26.214Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:25:28.672Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:25:31.140Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:25:31.140Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-20T08:25:31.140Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:25:31.911Z] Top recommended movies for user id 72:
[2026-02-20T08:25:31.911Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:25:31.911Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:25:31.911Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:25:31.911Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:25:31.911Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:25:31.911Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (25439.006 ms) ======
[2026-02-20T08:25:31.911Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-20T08:25:31.911Z] GC before operation: completed in 294.727 ms, heap usage 119.159 MB -> 89.760 MB.
[2026-02-20T08:25:36.415Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:25:39.843Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:25:44.338Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:25:47.756Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:25:50.239Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:25:52.699Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:25:55.175Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:25:57.643Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:25:57.643Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-20T08:25:57.643Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:25:58.422Z] Top recommended movies for user id 72:
[2026-02-20T08:25:58.422Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:25:58.422Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:25:58.422Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:25:58.422Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:25:58.422Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:25:58.422Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (26360.592 ms) ======
[2026-02-20T08:25:58.422Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-20T08:25:58.422Z] GC before operation: completed in 285.074 ms, heap usage 410.881 MB -> 90.183 MB.
[2026-02-20T08:26:03.166Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T08:26:06.893Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T08:26:11.364Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T08:26:14.793Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T08:26:17.248Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T08:26:18.831Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T08:26:21.285Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T08:26:23.751Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T08:26:23.751Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-20T08:26:23.751Z] The best model improves the baseline by 14.52%.
[2026-02-20T08:26:24.517Z] Top recommended movies for user id 72:
[2026-02-20T08:26:24.517Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T08:26:24.517Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T08:26:24.517Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T08:26:24.517Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T08:26:24.517Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T08:26:24.517Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (25781.328 ms) ======
[2026-02-20T08:26:25.279Z] -----------------------------------
[2026-02-20T08:26:25.279Z] renaissance-movie-lens_0_PASSED
[2026-02-20T08:26:25.279Z] -----------------------------------
[2026-02-20T08:26:25.279Z]
[2026-02-20T08:26:25.279Z] TEST TEARDOWN:
[2026-02-20T08:26:25.279Z] Nothing to be done for teardown.
[2026-02-20T08:26:25.279Z] renaissance-movie-lens_0 Finish Time: Fri Feb 20 08:26:24 2026 Epoch Time (ms): 1771575984528