renaissance-movie-lens_0
[2026-01-18T21:04:04.105Z] Running test renaissance-movie-lens_0 ...
[2026-01-18T21:04:04.105Z] ===============================================
[2026-01-18T21:04:04.105Z] renaissance-movie-lens_0 Start Time: Sun Jan 18 21:04:03 2026 Epoch Time (ms): 1768770243104
[2026-01-18T21:04:04.105Z] variation: NoOptions
[2026-01-18T21:04:04.105Z] JVM_OPTIONS:
[2026-01-18T21:04:04.105Z] { \
[2026-01-18T21:04:04.105Z] echo ""; echo "TEST SETUP:"; \
[2026-01-18T21:04:04.105Z] echo "Nothing to be done for setup."; \
[2026-01-18T21:04:04.105Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17687682282681/renaissance-movie-lens_0"; \
[2026-01-18T21:04:04.105Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17687682282681/renaissance-movie-lens_0"; \
[2026-01-18T21:04:04.105Z] echo ""; echo "TESTING:"; \
[2026-01-18T21:04:04.105Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_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_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17687682282681/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-18T21:04:04.105Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17687682282681/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-18T21:04:04.105Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-18T21:04:04.105Z] echo "Nothing to be done for teardown."; \
[2026-01-18T21:04:04.105Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17687682282681/TestTargetResult";
[2026-01-18T21:04:04.105Z]
[2026-01-18T21:04:04.105Z] TEST SETUP:
[2026-01-18T21:04:04.105Z] Nothing to be done for setup.
[2026-01-18T21:04:04.105Z]
[2026-01-18T21:04:04.105Z] TESTING:
[2026-01-18T21:04:12.354Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-01-18T21:04:22.375Z] 21:04:22.251 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.
[2026-01-18T21:04:26.550Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-18T21:04:27.512Z] Training: 60056, validation: 20285, test: 19854
[2026-01-18T21:04:27.512Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-18T21:04:27.512Z] GC before operation: completed in 184.706 ms, heap usage 691.992 MB -> 75.999 MB.
[2026-01-18T21:04:37.350Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T21:04:41.538Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T21:04:46.963Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T21:04:51.146Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T21:04:54.191Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T21:04:56.168Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T21:04:59.216Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T21:05:01.186Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T21:05:02.145Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-18T21:05:02.145Z] The best model improves the baseline by 14.52%.
[2026-01-18T21:05:02.145Z] Top recommended movies for user id 72:
[2026-01-18T21:05:02.145Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T21:05:02.145Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T21:05:02.145Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T21:05:02.145Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T21:05:02.145Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T21:05:02.145Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (34677.542 ms) ======
[2026-01-18T21:05:02.145Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-18T21:05:02.145Z] GC before operation: completed in 189.710 ms, heap usage 906.470 MB -> 94.531 MB.
[2026-01-18T21:05:06.325Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T21:05:10.508Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T21:05:14.690Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T21:05:18.861Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T21:05:20.828Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T21:05:22.801Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T21:05:24.779Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T21:05:27.453Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T21:05:27.453Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-18T21:05:27.453Z] The best model improves the baseline by 14.52%.
[2026-01-18T21:05:27.453Z] Top recommended movies for user id 72:
[2026-01-18T21:05:27.453Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T21:05:27.453Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T21:05:27.453Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T21:05:27.453Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T21:05:27.453Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T21:05:27.453Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (25069.491 ms) ======
[2026-01-18T21:05:27.453Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-18T21:05:27.453Z] GC before operation: completed in 177.397 ms, heap usage 537.162 MB -> 92.253 MB.
[2026-01-18T21:05:31.626Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T21:05:34.834Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T21:05:39.015Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T21:05:42.047Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T21:05:44.101Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T21:05:46.071Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T21:05:48.038Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T21:05:50.011Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T21:05:50.011Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-18T21:05:50.011Z] The best model improves the baseline by 14.52%.
[2026-01-18T21:05:50.968Z] Top recommended movies for user id 72:
[2026-01-18T21:05:50.968Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T21:05:50.968Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T21:05:50.968Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T21:05:50.968Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T21:05:50.968Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T21:05:50.968Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (22829.479 ms) ======
[2026-01-18T21:05:50.968Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-18T21:05:50.968Z] GC before operation: completed in 167.914 ms, heap usage 254.413 MB -> 89.325 MB.
[2026-01-18T21:05:54.008Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T21:05:58.215Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T21:06:02.175Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T21:06:04.141Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T21:06:06.109Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T21:06:08.080Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T21:06:10.054Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T21:06:12.029Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T21:06:12.984Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-18T21:06:12.985Z] The best model improves the baseline by 14.52%.
[2026-01-18T21:06:12.985Z] Top recommended movies for user id 72:
[2026-01-18T21:06:12.985Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T21:06:12.985Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T21:06:12.985Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T21:06:12.985Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T21:06:12.985Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T21:06:12.985Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (22105.589 ms) ======
[2026-01-18T21:06:12.985Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-18T21:06:12.985Z] GC before operation: completed in 168.119 ms, heap usage 144.283 MB -> 89.468 MB.
[2026-01-18T21:06:16.027Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T21:06:20.225Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T21:06:23.271Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T21:06:26.371Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T21:06:29.114Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T21:06:31.082Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T21:06:33.055Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T21:06:35.018Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T21:06:35.018Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-18T21:06:35.018Z] The best model improves the baseline by 14.52%.
[2026-01-18T21:06:35.018Z] Top recommended movies for user id 72:
[2026-01-18T21:06:35.018Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T21:06:35.018Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T21:06:35.018Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T21:06:35.018Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T21:06:35.018Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T21:06:35.018Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (22278.309 ms) ======
[2026-01-18T21:06:35.018Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-18T21:06:35.018Z] GC before operation: completed in 168.193 ms, heap usage 390.647 MB -> 89.808 MB.
[2026-01-18T21:06:39.228Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T21:06:42.300Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T21:06:45.362Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T21:06:48.390Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T21:06:50.357Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T21:06:52.326Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T21:06:54.292Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T21:06:55.254Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T21:06:56.214Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-18T21:06:56.214Z] The best model improves the baseline by 14.52%.
[2026-01-18T21:06:56.214Z] Top recommended movies for user id 72:
[2026-01-18T21:06:56.214Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T21:06:56.214Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T21:06:56.214Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T21:06:56.214Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T21:06:56.214Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T21:06:56.214Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20744.495 ms) ======
[2026-01-18T21:06:56.214Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-18T21:06:56.214Z] GC before operation: completed in 171.238 ms, heap usage 522.936 MB -> 90.368 MB.
[2026-01-18T21:06:59.247Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T21:07:02.283Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T21:07:05.316Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T21:07:08.349Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T21:07:10.320Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T21:07:12.292Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T21:07:14.256Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T21:07:16.230Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T21:07:16.230Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-18T21:07:16.230Z] The best model improves the baseline by 14.52%.
[2026-01-18T21:07:16.230Z] Top recommended movies for user id 72:
[2026-01-18T21:07:16.230Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T21:07:16.230Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T21:07:16.230Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T21:07:16.230Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T21:07:16.230Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T21:07:16.230Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20147.330 ms) ======
[2026-01-18T21:07:16.230Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-18T21:07:17.188Z] GC before operation: completed in 173.912 ms, heap usage 676.088 MB -> 93.803 MB.
[2026-01-18T21:07:20.229Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T21:07:23.261Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T21:07:26.290Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T21:07:29.317Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T21:07:30.719Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T21:07:32.727Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T21:07:34.691Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T21:07:36.659Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T21:07:36.659Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-18T21:07:36.659Z] The best model improves the baseline by 14.52%.
[2026-01-18T21:07:36.659Z] Top recommended movies for user id 72:
[2026-01-18T21:07:36.659Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T21:07:36.659Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T21:07:36.659Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T21:07:36.659Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T21:07:36.659Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T21:07:36.659Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20236.353 ms) ======
[2026-01-18T21:07:36.659Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-18T21:07:37.617Z] GC before operation: completed in 167.548 ms, heap usage 382.553 MB -> 90.375 MB.
[2026-01-18T21:07:40.648Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T21:07:43.685Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T21:07:46.717Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T21:07:48.692Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T21:07:50.658Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T21:07:52.618Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T21:07:54.584Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T21:07:56.556Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T21:07:56.556Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-18T21:07:56.556Z] The best model improves the baseline by 14.52%.
[2026-01-18T21:07:56.556Z] Top recommended movies for user id 72:
[2026-01-18T21:07:56.556Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T21:07:56.556Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T21:07:56.556Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T21:07:56.556Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T21:07:56.556Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T21:07:56.556Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19762.186 ms) ======
[2026-01-18T21:07:56.556Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-18T21:07:57.510Z] GC before operation: completed in 170.952 ms, heap usage 280.103 MB -> 90.018 MB.
[2026-01-18T21:08:00.546Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T21:08:03.578Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T21:08:06.613Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T21:08:09.665Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T21:08:11.641Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T21:08:12.599Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T21:08:14.566Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T21:08:16.532Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T21:08:16.532Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-18T21:08:16.532Z] The best model improves the baseline by 14.52%.
[2026-01-18T21:08:17.487Z] Top recommended movies for user id 72:
[2026-01-18T21:08:17.487Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T21:08:17.487Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T21:08:17.487Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T21:08:17.487Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T21:08:17.487Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T21:08:17.487Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20108.786 ms) ======
[2026-01-18T21:08:17.487Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-18T21:08:17.487Z] GC before operation: completed in 169.717 ms, heap usage 736.741 MB -> 94.030 MB.
[2026-01-18T21:08:20.523Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T21:08:23.566Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T21:08:26.639Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T21:08:29.676Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T21:08:32.178Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T21:08:33.325Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T21:08:35.301Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T21:08:36.256Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T21:08:37.216Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-18T21:08:37.216Z] The best model improves the baseline by 14.52%.
[2026-01-18T21:08:37.216Z] Top recommended movies for user id 72:
[2026-01-18T21:08:37.216Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T21:08:37.216Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T21:08:37.216Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T21:08:37.216Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T21:08:37.216Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T21:08:37.216Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19899.277 ms) ======
[2026-01-18T21:08:37.216Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-18T21:08:37.216Z] GC before operation: completed in 172.740 ms, heap usage 429.744 MB -> 90.219 MB.
[2026-01-18T21:08:40.286Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T21:08:43.319Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T21:08:46.398Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T21:08:49.431Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T21:08:51.451Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T21:08:52.412Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T21:08:54.382Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T21:09:00.601Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T21:09:00.601Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-18T21:09:00.601Z] The best model improves the baseline by 14.52%.
[2026-01-18T21:09:00.601Z] Top recommended movies for user id 72:
[2026-01-18T21:09:00.601Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T21:09:00.601Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T21:09:00.601Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T21:09:00.601Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T21:09:00.601Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T21:09:00.601Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19674.537 ms) ======
[2026-01-18T21:09:00.601Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-18T21:09:00.601Z] GC before operation: completed in 175.532 ms, heap usage 357.974 MB -> 90.316 MB.
[2026-01-18T21:09:00.601Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T21:09:03.633Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T21:09:06.664Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T21:09:09.701Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T21:09:11.669Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T21:09:13.637Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T21:09:15.607Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T21:09:17.574Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T21:09:17.574Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-18T21:09:17.574Z] The best model improves the baseline by 14.52%.
[2026-01-18T21:09:17.574Z] Top recommended movies for user id 72:
[2026-01-18T21:09:17.574Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T21:09:17.574Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T21:09:17.574Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T21:09:17.574Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T21:09:17.574Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T21:09:17.574Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20302.064 ms) ======
[2026-01-18T21:09:17.574Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-18T21:09:17.574Z] GC before operation: completed in 171.961 ms, heap usage 727.750 MB -> 94.150 MB.
[2026-01-18T21:09:20.610Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T21:09:23.646Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T21:09:27.821Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T21:09:29.792Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T21:09:31.761Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T21:09:33.725Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T21:09:35.693Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T21:09:37.665Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T21:09:37.665Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-18T21:09:37.665Z] The best model improves the baseline by 14.52%.
[2026-01-18T21:09:37.665Z] Top recommended movies for user id 72:
[2026-01-18T21:09:37.665Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T21:09:37.665Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T21:09:37.665Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T21:09:37.665Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T21:09:37.665Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T21:09:37.665Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20117.842 ms) ======
[2026-01-18T21:09:37.665Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-18T21:09:37.665Z] GC before operation: completed in 170.128 ms, heap usage 497.130 MB -> 90.451 MB.
[2026-01-18T21:09:41.424Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T21:09:44.567Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T21:09:47.604Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T21:09:50.634Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T21:09:51.596Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T21:09:53.560Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T21:09:55.526Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T21:09:57.593Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T21:09:57.593Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-18T21:09:57.593Z] The best model improves the baseline by 14.52%.
[2026-01-18T21:09:57.593Z] Top recommended movies for user id 72:
[2026-01-18T21:09:57.593Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T21:09:57.593Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T21:09:57.593Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T21:09:57.593Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T21:09:57.593Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T21:09:57.593Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19849.093 ms) ======
[2026-01-18T21:09:57.593Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-18T21:09:58.553Z] GC before operation: completed in 174.287 ms, heap usage 317.903 MB -> 90.405 MB.
[2026-01-18T21:10:00.519Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T21:10:03.563Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T21:10:07.749Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T21:10:09.718Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T21:10:11.683Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T21:10:13.657Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T21:10:15.630Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T21:10:17.666Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T21:10:17.666Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-18T21:10:17.667Z] The best model improves the baseline by 14.52%.
[2026-01-18T21:10:18.624Z] Top recommended movies for user id 72:
[2026-01-18T21:10:18.624Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T21:10:18.624Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T21:10:18.625Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T21:10:18.625Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T21:10:18.625Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T21:10:18.625Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20164.123 ms) ======
[2026-01-18T21:10:18.625Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-18T21:10:18.625Z] GC before operation: completed in 168.150 ms, heap usage 535.549 MB -> 93.806 MB.
[2026-01-18T21:10:21.655Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T21:10:24.692Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T21:10:27.767Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T21:10:30.803Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T21:10:31.760Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T21:10:33.902Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T21:10:35.867Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T21:10:37.835Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T21:10:37.835Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-18T21:10:37.835Z] The best model improves the baseline by 14.52%.
[2026-01-18T21:10:37.835Z] Top recommended movies for user id 72:
[2026-01-18T21:10:37.835Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T21:10:37.835Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T21:10:37.835Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T21:10:37.835Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T21:10:37.835Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T21:10:37.835Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19496.526 ms) ======
[2026-01-18T21:10:37.835Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-18T21:10:37.836Z] GC before operation: completed in 180.616 ms, heap usage 610.326 MB -> 94.000 MB.
[2026-01-18T21:10:41.762Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T21:10:44.806Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T21:10:47.844Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T21:10:49.812Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T21:10:51.777Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T21:10:53.739Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T21:10:55.707Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T21:10:57.680Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T21:10:57.680Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-18T21:10:57.680Z] The best model improves the baseline by 14.52%.
[2026-01-18T21:10:57.680Z] Top recommended movies for user id 72:
[2026-01-18T21:10:57.680Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T21:10:57.680Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T21:10:57.680Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T21:10:57.680Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T21:10:57.680Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T21:10:57.680Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19809.180 ms) ======
[2026-01-18T21:10:57.680Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-18T21:10:57.680Z] GC before operation: completed in 178.146 ms, heap usage 398.431 MB -> 90.232 MB.
[2026-01-18T21:11:00.747Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T21:11:03.777Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T21:11:06.815Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T21:11:09.850Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T21:11:11.829Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T21:11:13.796Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T21:11:15.765Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T21:11:16.725Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T21:11:17.682Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-18T21:11:17.682Z] The best model improves the baseline by 14.52%.
[2026-01-18T21:11:17.682Z] Top recommended movies for user id 72:
[2026-01-18T21:11:17.682Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T21:11:17.682Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T21:11:17.682Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T21:11:17.682Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T21:11:17.682Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T21:11:17.682Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19545.997 ms) ======
[2026-01-18T21:11:17.682Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-18T21:11:17.682Z] GC before operation: completed in 180.475 ms, heap usage 600.456 MB -> 93.882 MB.
[2026-01-18T21:11:20.719Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-18T21:11:23.853Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-18T21:11:26.888Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-18T21:11:29.919Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-18T21:11:31.887Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-18T21:11:32.845Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-18T21:11:34.814Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-18T21:11:36.781Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-18T21:11:36.781Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-18T21:11:36.781Z] The best model improves the baseline by 14.52%.
[2026-01-18T21:11:36.781Z] Top recommended movies for user id 72:
[2026-01-18T21:11:36.781Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-18T21:11:36.781Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-18T21:11:36.781Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-18T21:11:36.781Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-18T21:11:36.781Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-18T21:11:36.781Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19431.453 ms) ======
[2026-01-18T21:11:38.745Z] -----------------------------------
[2026-01-18T21:11:38.745Z] renaissance-movie-lens_0_PASSED
[2026-01-18T21:11:38.745Z] -----------------------------------
[2026-01-18T21:11:38.745Z]
[2026-01-18T21:11:38.745Z] TEST TEARDOWN:
[2026-01-18T21:11:38.745Z] Nothing to be done for teardown.
[2026-01-18T21:11:38.745Z] renaissance-movie-lens_0 Finish Time: Sun Jan 18 21:11:38 2026 Epoch Time (ms): 1768770698034