renaissance-movie-lens_0
[2026-02-04T23:05:52.277Z] Running test renaissance-movie-lens_0 ...
[2026-02-04T23:05:52.277Z] ===============================================
[2026-02-04T23:05:52.277Z] renaissance-movie-lens_0 Start Time: Wed Feb 4 23:05:51 2026 Epoch Time (ms): 1770246351967
[2026-02-04T23:05:52.277Z] variation: NoOptions
[2026-02-04T23:05:52.277Z] JVM_OPTIONS:
[2026-02-04T23:05:52.277Z] { \
[2026-02-04T23:05:52.277Z] echo ""; echo "TEST SETUP:"; \
[2026-02-04T23:05:52.277Z] echo "Nothing to be done for setup."; \
[2026-02-04T23:05:52.277Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17702455344664/renaissance-movie-lens_0"; \
[2026-02-04T23:05:52.277Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17702455344664/renaissance-movie-lens_0"; \
[2026-02-04T23:05:52.277Z] echo ""; echo "TESTING:"; \
[2026-02-04T23:05:52.277Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_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_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17702455344664/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-04T23:05:52.277Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17702455344664/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-04T23:05:52.277Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-04T23:05:52.277Z] echo "Nothing to be done for teardown."; \
[2026-02-04T23:05:52.277Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17702455344664/TestTargetResult";
[2026-02-04T23:05:52.277Z]
[2026-02-04T23:05:52.277Z] TEST SETUP:
[2026-02-04T23:05:52.277Z] Nothing to be done for setup.
[2026-02-04T23:05:52.277Z]
[2026-02-04T23:05:52.277Z] TESTING:
[2026-02-04T23:05:57.710Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-04T23:06:03.238Z] 23:06:03.020 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.
[2026-02-04T23:06:05.224Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-04T23:06:06.193Z] Training: 60056, validation: 20285, test: 19854
[2026-02-04T23:06:06.193Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-04T23:06:06.193Z] GC before operation: completed in 136.800 ms, heap usage 363.496 MB -> 75.726 MB.
[2026-02-04T23:06:10.584Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:06:13.657Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:06:16.756Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:06:19.828Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:06:22.724Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:06:24.161Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:06:25.472Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:06:26.436Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:06:26.436Z] 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.
[2026-02-04T23:06:27.395Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:06:27.395Z] Top recommended movies for user id 72:
[2026-02-04T23:06:27.395Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:06:27.395Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:06:27.395Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:06:27.395Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:06:27.395Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:06:27.395Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21099.588 ms) ======
[2026-02-04T23:06:27.395Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-04T23:06:27.395Z] GC before operation: completed in 119.240 ms, heap usage 627.407 MB -> 90.655 MB.
[2026-02-04T23:06:30.439Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:06:32.403Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:06:35.450Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:06:37.421Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:06:39.389Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:06:41.365Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:06:42.333Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:06:44.321Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:06:44.321Z] 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.
[2026-02-04T23:06:44.321Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:06:44.321Z] Top recommended movies for user id 72:
[2026-02-04T23:06:44.321Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:06:44.321Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:06:44.321Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:06:44.321Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:06:44.321Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:06:44.321Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17284.153 ms) ======
[2026-02-04T23:06:44.321Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-04T23:06:44.321Z] GC before operation: completed in 163.355 ms, heap usage 695.865 MB -> 92.621 MB.
[2026-02-04T23:06:47.392Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:06:50.434Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:06:52.433Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:06:55.489Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:06:56.448Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:06:57.422Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:06:59.409Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:07:00.382Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:07:01.391Z] 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.
[2026-02-04T23:07:01.391Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:07:01.391Z] Top recommended movies for user id 72:
[2026-02-04T23:07:01.391Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:07:01.391Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:07:01.391Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:07:01.391Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:07:01.391Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:07:01.391Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16448.565 ms) ======
[2026-02-04T23:07:01.391Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-04T23:07:01.391Z] GC before operation: completed in 107.200 ms, heap usage 307.284 MB -> 91.717 MB.
[2026-02-04T23:07:03.399Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:07:06.456Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:07:08.454Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:07:10.438Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:07:11.402Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:07:13.422Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:07:14.386Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:07:16.355Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:07:16.355Z] 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.
[2026-02-04T23:07:16.355Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:07:16.355Z] Top recommended movies for user id 72:
[2026-02-04T23:07:16.355Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:07:16.355Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:07:16.355Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:07:16.355Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:07:16.355Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:07:16.355Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15021.684 ms) ======
[2026-02-04T23:07:16.355Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-04T23:07:16.355Z] GC before operation: completed in 107.557 ms, heap usage 182.043 MB -> 89.579 MB.
[2026-02-04T23:07:18.501Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:07:20.496Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:07:23.550Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:07:25.552Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:07:26.517Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:07:28.564Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:07:29.537Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:07:30.501Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:07:30.501Z] 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.
[2026-02-04T23:07:31.476Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:07:31.476Z] Top recommended movies for user id 72:
[2026-02-04T23:07:31.476Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:07:31.476Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:07:31.476Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:07:31.476Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:07:31.476Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:07:31.476Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14762.576 ms) ======
[2026-02-04T23:07:31.476Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-04T23:07:31.476Z] GC before operation: completed in 126.266 ms, heap usage 168.199 MB -> 92.050 MB.
[2026-02-04T23:07:33.451Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:07:35.429Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:07:38.483Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:07:40.466Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:07:41.449Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:07:42.428Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:07:44.419Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:07:45.420Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:07:46.378Z] 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.
[2026-02-04T23:07:46.378Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:07:46.378Z] Top recommended movies for user id 72:
[2026-02-04T23:07:46.378Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:07:46.378Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:07:46.378Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:07:46.378Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:07:46.378Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:07:46.378Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14805.699 ms) ======
[2026-02-04T23:07:46.378Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-04T23:07:46.378Z] GC before operation: completed in 114.825 ms, heap usage 828.862 MB -> 94.168 MB.
[2026-02-04T23:07:48.405Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:07:51.445Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:07:53.444Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:07:55.423Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:07:57.403Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:07:58.378Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:07:59.346Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:08:01.348Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:08:01.348Z] 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.
[2026-02-04T23:08:01.348Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:08:01.348Z] Top recommended movies for user id 72:
[2026-02-04T23:08:01.348Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:08:01.348Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:08:01.348Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:08:01.348Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:08:01.348Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:08:01.348Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15313.595 ms) ======
[2026-02-04T23:08:01.348Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-04T23:08:01.348Z] GC before operation: completed in 118.283 ms, heap usage 798.984 MB -> 96.429 MB.
[2026-02-04T23:08:03.513Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:08:05.630Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:08:08.721Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:08:09.856Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:08:11.879Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:08:12.913Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:08:13.903Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:08:14.861Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:08:14.862Z] 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.
[2026-02-04T23:08:14.862Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:08:15.899Z] Top recommended movies for user id 72:
[2026-02-04T23:08:15.899Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:08:15.899Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:08:15.899Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:08:15.899Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:08:15.899Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:08:15.899Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13811.226 ms) ======
[2026-02-04T23:08:15.899Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-04T23:08:15.899Z] GC before operation: completed in 108.979 ms, heap usage 269.562 MB -> 94.335 MB.
[2026-02-04T23:08:17.906Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:08:19.900Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:08:21.893Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:08:23.898Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:08:24.871Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:08:25.851Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:08:26.834Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:08:28.824Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:08:28.824Z] 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.
[2026-02-04T23:08:28.824Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:08:28.824Z] Top recommended movies for user id 72:
[2026-02-04T23:08:28.824Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:08:28.824Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:08:28.824Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:08:28.824Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:08:28.824Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:08:28.824Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (13287.872 ms) ======
[2026-02-04T23:08:28.824Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-04T23:08:28.824Z] GC before operation: completed in 117.719 ms, heap usage 371.849 MB -> 90.140 MB.
[2026-02-04T23:08:30.837Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:08:32.866Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:08:35.985Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:08:37.994Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:08:40.063Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:08:41.040Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:08:42.009Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:08:43.989Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:08:43.989Z] 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.
[2026-02-04T23:08:43.989Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:08:43.990Z] Top recommended movies for user id 72:
[2026-02-04T23:08:43.990Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:08:43.990Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:08:43.990Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:08:43.990Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:08:43.990Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:08:43.990Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15217.384 ms) ======
[2026-02-04T23:08:43.990Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-04T23:08:43.990Z] GC before operation: completed in 118.328 ms, heap usage 370.647 MB -> 92.692 MB.
[2026-02-04T23:08:47.076Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:08:49.057Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:08:51.030Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:08:53.076Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:08:54.042Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:08:56.017Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:08:56.974Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:08:57.933Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:08:58.893Z] 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.
[2026-02-04T23:08:58.893Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:08:58.893Z] Top recommended movies for user id 72:
[2026-02-04T23:08:58.893Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:08:58.893Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:08:58.893Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:08:58.893Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:08:58.893Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:08:58.893Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14484.818 ms) ======
[2026-02-04T23:08:58.893Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-04T23:08:58.893Z] GC before operation: completed in 120.033 ms, heap usage 479.028 MB -> 90.272 MB.
[2026-02-04T23:09:02.133Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:09:03.297Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:09:05.272Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:09:07.244Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:09:08.205Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:09:09.164Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:09:11.131Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:09:12.089Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:09:12.089Z] 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.
[2026-02-04T23:09:12.089Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:09:13.048Z] Top recommended movies for user id 72:
[2026-02-04T23:09:13.048Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:09:13.048Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:09:13.048Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:09:13.048Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:09:13.048Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:09:13.048Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (13638.708 ms) ======
[2026-02-04T23:09:13.048Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-04T23:09:13.048Z] GC before operation: completed in 130.752 ms, heap usage 529.961 MB -> 93.776 MB.
[2026-02-04T23:09:15.026Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:09:17.004Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:09:18.985Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:09:20.977Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:09:21.943Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:09:23.926Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:09:24.894Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:09:26.870Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:09:26.870Z] 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.
[2026-02-04T23:09:26.870Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:09:26.870Z] Top recommended movies for user id 72:
[2026-02-04T23:09:26.870Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:09:26.870Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:09:26.870Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:09:26.870Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:09:26.870Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:09:26.870Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14251.806 ms) ======
[2026-02-04T23:09:26.870Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-04T23:09:26.870Z] GC before operation: completed in 118.229 ms, heap usage 384.082 MB -> 92.736 MB.
[2026-02-04T23:09:28.847Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:09:30.839Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:09:32.831Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:09:34.806Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:09:36.781Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:09:37.747Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:09:38.706Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:09:40.676Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:09:40.676Z] 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.
[2026-02-04T23:09:40.676Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:09:40.676Z] Top recommended movies for user id 72:
[2026-02-04T23:09:40.676Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:09:40.676Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:09:40.676Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:09:40.676Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:09:40.676Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:09:40.676Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13628.838 ms) ======
[2026-02-04T23:09:40.676Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-04T23:09:40.676Z] GC before operation: completed in 113.121 ms, heap usage 359.922 MB -> 90.312 MB.
[2026-02-04T23:09:42.693Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:09:44.667Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:09:46.645Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:09:48.623Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:09:50.676Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:09:51.668Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:09:52.775Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:09:53.761Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:09:54.744Z] 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.
[2026-02-04T23:09:54.744Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:09:54.744Z] Top recommended movies for user id 72:
[2026-02-04T23:09:54.744Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:09:54.744Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:09:54.744Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:09:54.744Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:09:54.744Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:09:54.744Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13738.024 ms) ======
[2026-02-04T23:09:54.744Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-04T23:09:54.744Z] GC before operation: completed in 117.093 ms, heap usage 307.751 MB -> 90.490 MB.
[2026-02-04T23:09:57.805Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:09:59.803Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:10:02.851Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:10:04.833Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:10:06.821Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:10:07.783Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:10:08.746Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:10:10.725Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:10:10.725Z] 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.
[2026-02-04T23:10:10.725Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:10:10.725Z] Top recommended movies for user id 72:
[2026-02-04T23:10:10.725Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:10:10.725Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:10:10.726Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:10:10.726Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:10:10.726Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:10:10.726Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (16148.751 ms) ======
[2026-02-04T23:10:10.726Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-04T23:10:10.726Z] GC before operation: completed in 139.789 ms, heap usage 148.924 MB -> 91.886 MB.
[2026-02-04T23:10:13.796Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:10:15.762Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:10:17.759Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:10:19.732Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:10:21.722Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:10:22.689Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:10:23.649Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:10:25.627Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:10:25.627Z] 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.
[2026-02-04T23:10:25.627Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:10:25.627Z] Top recommended movies for user id 72:
[2026-02-04T23:10:25.627Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:10:25.627Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:10:25.627Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:10:25.627Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:10:25.627Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:10:25.627Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14798.476 ms) ======
[2026-02-04T23:10:25.627Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-04T23:10:25.627Z] GC before operation: completed in 158.694 ms, heap usage 283.170 MB -> 95.086 MB.
[2026-02-04T23:10:27.606Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:10:29.579Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:10:32.635Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:10:34.602Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:10:35.561Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:10:36.521Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:10:37.486Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:10:39.473Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:10:39.473Z] 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.
[2026-02-04T23:10:39.473Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:10:39.473Z] Top recommended movies for user id 72:
[2026-02-04T23:10:39.473Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:10:39.473Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:10:39.473Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:10:39.473Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:10:39.473Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:10:39.473Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13721.557 ms) ======
[2026-02-04T23:10:39.473Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-04T23:10:39.473Z] GC before operation: completed in 114.343 ms, heap usage 220.977 MB -> 91.810 MB.
[2026-02-04T23:10:41.451Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:10:44.486Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:10:46.455Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:10:48.441Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:10:49.444Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:10:50.412Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:10:52.378Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:10:53.339Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:10:53.339Z] 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.
[2026-02-04T23:10:53.339Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:10:54.298Z] Top recommended movies for user id 72:
[2026-02-04T23:10:54.298Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:10:54.298Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:10:54.298Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:10:54.298Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:10:54.298Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:10:54.298Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14149.624 ms) ======
[2026-02-04T23:10:54.298Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-04T23:10:54.298Z] GC before operation: completed in 130.504 ms, heap usage 213.002 MB -> 90.210 MB.
[2026-02-04T23:10:56.269Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:10:58.243Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:11:00.216Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:11:02.191Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:11:04.177Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:11:05.148Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:11:06.119Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:11:08.110Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:11:08.110Z] 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.
[2026-02-04T23:11:08.110Z] The best model improves the baseline by 14.52%.
[2026-02-04T23:11:08.110Z] Top recommended movies for user id 72:
[2026-02-04T23:11:08.110Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-04T23:11:08.110Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-04T23:11:08.110Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-04T23:11:08.110Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-04T23:11:08.110Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-04T23:11:08.110Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14024.857 ms) ======
[2026-02-04T23:11:09.073Z] -----------------------------------
[2026-02-04T23:11:09.073Z] renaissance-movie-lens_0_PASSED
[2026-02-04T23:11:09.073Z] -----------------------------------
[2026-02-04T23:11:09.073Z]
[2026-02-04T23:11:09.073Z] TEST TEARDOWN:
[2026-02-04T23:11:09.073Z] Nothing to be done for teardown.
[2026-02-04T23:11:09.073Z] renaissance-movie-lens_0 Finish Time: Wed Feb 4 23:11:08 2026 Epoch Time (ms): 1770246668090