renaissance-movie-lens_0
[2025-12-24T22:27:21.746Z] Running test renaissance-movie-lens_0 ...
[2025-12-24T22:27:21.746Z] ===============================================
[2025-12-24T22:27:21.746Z] renaissance-movie-lens_0 Start Time: Wed Dec 24 22:27:21 2025 Epoch Time (ms): 1766615241455
[2025-12-24T22:27:21.746Z] variation: NoOptions
[2025-12-24T22:27:21.746Z] JVM_OPTIONS:
[2025-12-24T22:27:21.746Z] { \
[2025-12-24T22:27:21.746Z] echo ""; echo "TEST SETUP:"; \
[2025-12-24T22:27:21.746Z] echo "Nothing to be done for setup."; \
[2025-12-24T22:27:21.746Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17666138172698/renaissance-movie-lens_0"; \
[2025-12-24T22:27:21.746Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17666138172698/renaissance-movie-lens_0"; \
[2025-12-24T22:27:21.746Z] echo ""; echo "TESTING:"; \
[2025-12-24T22:27:21.746Z] "/home/jenkins/workspace/Test_openjdk21_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_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17666138172698/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-12-24T22:27:21.746Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17666138172698/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-12-24T22:27:21.746Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-12-24T22:27:21.746Z] echo "Nothing to be done for teardown."; \
[2025-12-24T22:27:21.746Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17666138172698/TestTargetResult";
[2025-12-24T22:27:21.746Z]
[2025-12-24T22:27:21.746Z] TEST SETUP:
[2025-12-24T22:27:21.746Z] Nothing to be done for setup.
[2025-12-24T22:27:21.746Z]
[2025-12-24T22:27:21.746Z] TESTING:
[2025-12-24T22:27:27.139Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-12-24T22:27:33.865Z] 22:27:33.164 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-12-24T22:27:35.835Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-12-24T22:27:35.835Z] Training: 60056, validation: 20285, test: 19854
[2025-12-24T22:27:35.835Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-12-24T22:27:35.835Z] GC before operation: completed in 126.993 ms, heap usage 159.868 MB -> 75.872 MB.
[2025-12-24T22:27:41.935Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:27:43.906Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:27:46.942Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:27:49.976Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:27:51.940Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:27:53.902Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:27:54.859Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:27:56.825Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:27:57.790Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:27:57.790Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:27:57.790Z] Top recommended movies for user id 72:
[2025-12-24T22:27:57.790Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:27:57.790Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:27:57.790Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:27:57.790Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:27:57.790Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:27:57.790Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21567.868 ms) ======
[2025-12-24T22:27:57.790Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-12-24T22:27:57.790Z] GC before operation: completed in 150.780 ms, heap usage 105.207 MB -> 86.351 MB.
[2025-12-24T22:28:00.828Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:28:02.803Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:28:05.837Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:28:07.809Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:28:10.229Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:28:11.186Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:28:13.150Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:28:15.117Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:28:15.117Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:28:15.117Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:28:15.117Z] Top recommended movies for user id 72:
[2025-12-24T22:28:15.117Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:28:15.117Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:28:15.117Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:28:15.117Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:28:15.117Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:28:15.117Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17434.933 ms) ======
[2025-12-24T22:28:15.117Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-12-24T22:28:15.117Z] GC before operation: completed in 164.581 ms, heap usage 364.578 MB -> 89.053 MB.
[2025-12-24T22:28:18.154Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:28:20.119Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:28:23.168Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:28:25.134Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:28:27.099Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:28:28.060Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:28:30.030Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:28:32.003Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:28:32.003Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:28:32.003Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:28:32.003Z] Top recommended movies for user id 72:
[2025-12-24T22:28:32.003Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:28:32.003Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:28:32.003Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:28:32.003Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:28:32.003Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:28:32.003Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16593.664 ms) ======
[2025-12-24T22:28:32.003Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-12-24T22:28:32.003Z] GC before operation: completed in 123.625 ms, heap usage 150.948 MB -> 89.362 MB.
[2025-12-24T22:28:33.968Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:28:37.009Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:28:38.978Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:28:41.831Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:28:43.797Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:28:44.757Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:28:45.716Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:28:47.682Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:28:47.683Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:28:47.683Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:28:47.683Z] Top recommended movies for user id 72:
[2025-12-24T22:28:47.683Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:28:47.683Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:28:47.683Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:28:47.683Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:28:47.683Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:28:47.683Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15823.547 ms) ======
[2025-12-24T22:28:47.683Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-12-24T22:28:47.683Z] GC before operation: completed in 131.183 ms, heap usage 250.858 MB -> 89.722 MB.
[2025-12-24T22:28:50.727Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:28:52.705Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:28:55.738Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:28:57.702Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:28:59.666Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:29:00.623Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:29:02.590Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:29:03.549Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:29:03.549Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:29:04.513Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:29:04.513Z] Top recommended movies for user id 72:
[2025-12-24T22:29:04.513Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:29:04.513Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:29:04.513Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:29:04.513Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:29:04.513Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:29:04.513Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16143.592 ms) ======
[2025-12-24T22:29:04.513Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-12-24T22:29:04.513Z] GC before operation: completed in 128.524 ms, heap usage 363.951 MB -> 89.881 MB.
[2025-12-24T22:29:06.480Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:29:10.228Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:29:11.184Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:29:14.224Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:29:15.182Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:29:16.139Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:29:18.106Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:29:19.066Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:29:20.022Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:29:20.022Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:29:20.022Z] Top recommended movies for user id 72:
[2025-12-24T22:29:20.022Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:29:20.022Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:29:20.022Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:29:20.022Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:29:20.022Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:29:20.022Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15504.838 ms) ======
[2025-12-24T22:29:20.022Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-12-24T22:29:20.022Z] GC before operation: completed in 124.008 ms, heap usage 446.060 MB -> 90.319 MB.
[2025-12-24T22:29:22.046Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:29:24.012Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:29:27.045Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:29:29.007Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:29:29.963Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:29:31.932Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:29:32.888Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:29:34.852Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:29:34.852Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:29:34.852Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:29:34.852Z] Top recommended movies for user id 72:
[2025-12-24T22:29:34.852Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:29:34.852Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:29:34.852Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:29:34.852Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:29:34.852Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:29:34.852Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15030.428 ms) ======
[2025-12-24T22:29:34.852Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-12-24T22:29:34.852Z] GC before operation: completed in 127.712 ms, heap usage 346.674 MB -> 90.098 MB.
[2025-12-24T22:29:37.884Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:29:39.555Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:29:42.585Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:29:44.550Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:29:45.510Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:29:47.475Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:29:48.434Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:29:50.412Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:29:50.412Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:29:50.412Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:29:50.412Z] Top recommended movies for user id 72:
[2025-12-24T22:29:50.412Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:29:50.412Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:29:50.412Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:29:50.412Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:29:50.412Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:29:50.412Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15346.781 ms) ======
[2025-12-24T22:29:50.412Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-12-24T22:29:50.412Z] GC before operation: completed in 135.680 ms, heap usage 359.063 MB -> 90.426 MB.
[2025-12-24T22:29:52.379Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:29:54.350Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:29:57.395Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:29:58.355Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:30:00.331Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:30:01.293Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:30:02.388Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:30:04.364Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:30:04.364Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:30:04.364Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:30:04.364Z] Top recommended movies for user id 72:
[2025-12-24T22:30:04.364Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:30:04.364Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:30:04.364Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:30:04.364Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:30:04.364Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:30:04.364Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (13783.162 ms) ======
[2025-12-24T22:30:04.364Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-12-24T22:30:04.364Z] GC before operation: completed in 135.226 ms, heap usage 192.154 MB -> 90.051 MB.
[2025-12-24T22:30:06.357Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:30:10.140Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:30:11.097Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:30:13.062Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:30:15.029Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:30:15.984Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:30:16.952Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:30:18.918Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:30:18.918Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:30:18.918Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:30:18.918Z] Top recommended movies for user id 72:
[2025-12-24T22:30:18.918Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:30:18.918Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:30:18.918Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:30:18.918Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:30:18.918Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:30:18.918Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14272.903 ms) ======
[2025-12-24T22:30:18.918Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-12-24T22:30:18.918Z] GC before operation: completed in 130.405 ms, heap usage 266.005 MB -> 90.281 MB.
[2025-12-24T22:30:20.896Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:30:22.866Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:30:25.907Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:30:27.869Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:30:28.825Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:30:29.781Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:30:31.760Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:30:32.717Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:30:32.718Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:30:32.718Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:30:32.718Z] Top recommended movies for user id 72:
[2025-12-24T22:30:32.718Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:30:32.718Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:30:32.718Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:30:32.718Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:30:32.718Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:30:32.718Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14111.877 ms) ======
[2025-12-24T22:30:32.718Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-12-24T22:30:33.675Z] GC before operation: completed in 132.783 ms, heap usage 201.834 MB -> 89.997 MB.
[2025-12-24T22:30:36.346Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:30:37.327Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:30:40.361Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:30:42.400Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:30:43.360Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:30:45.327Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:30:46.284Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:30:48.245Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:30:48.245Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:30:48.245Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:30:48.245Z] Top recommended movies for user id 72:
[2025-12-24T22:30:48.245Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:30:48.245Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:30:48.245Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:30:48.245Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:30:48.245Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:30:48.245Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15083.991 ms) ======
[2025-12-24T22:30:48.245Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-12-24T22:30:48.245Z] GC before operation: completed in 118.392 ms, heap usage 100.375 MB -> 89.947 MB.
[2025-12-24T22:30:50.206Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:30:52.186Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:30:55.216Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:30:57.179Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:30:58.135Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:31:00.109Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:31:01.065Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:31:03.027Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:31:03.027Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:31:03.027Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:31:03.027Z] Top recommended movies for user id 72:
[2025-12-24T22:31:03.027Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:31:03.027Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:31:03.027Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:31:03.027Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:31:03.027Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:31:03.027Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14830.367 ms) ======
[2025-12-24T22:31:03.027Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-12-24T22:31:03.027Z] GC before operation: completed in 133.481 ms, heap usage 520.929 MB -> 94.051 MB.
[2025-12-24T22:31:06.058Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:31:07.678Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:31:10.719Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:31:12.686Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:31:13.655Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:31:15.625Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:31:16.580Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:31:18.543Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:31:18.543Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:31:18.543Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:31:18.543Z] Top recommended movies for user id 72:
[2025-12-24T22:31:18.543Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:31:18.543Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:31:18.543Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:31:18.543Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:31:18.543Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:31:18.543Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15336.516 ms) ======
[2025-12-24T22:31:18.543Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-12-24T22:31:18.543Z] GC before operation: completed in 127.835 ms, heap usage 348.317 MB -> 90.288 MB.
[2025-12-24T22:31:21.580Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:31:23.547Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:31:25.515Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:31:28.562Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:31:29.519Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:31:30.479Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:31:32.449Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:31:33.869Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:31:33.869Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:31:33.869Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:31:33.869Z] Top recommended movies for user id 72:
[2025-12-24T22:31:33.869Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:31:33.869Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:31:33.869Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:31:33.869Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:31:33.869Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:31:33.869Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15479.750 ms) ======
[2025-12-24T22:31:33.869Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-12-24T22:31:34.828Z] GC before operation: completed in 189.758 ms, heap usage 365.703 MB -> 90.599 MB.
[2025-12-24T22:31:36.798Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:31:38.764Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:31:40.737Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:31:43.784Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:31:44.918Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:31:45.876Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:31:47.859Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:31:48.816Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:31:49.774Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:31:49.774Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:31:49.774Z] Top recommended movies for user id 72:
[2025-12-24T22:31:49.774Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:31:49.774Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:31:49.774Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:31:49.774Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:31:49.774Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:31:49.774Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15307.630 ms) ======
[2025-12-24T22:31:49.774Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-12-24T22:31:49.774Z] GC before operation: completed in 155.632 ms, heap usage 362.551 MB -> 90.407 MB.
[2025-12-24T22:31:52.823Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:31:54.791Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:31:56.757Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:31:59.795Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:32:00.753Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:32:02.720Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:32:04.141Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:32:05.099Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:32:06.059Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:32:06.059Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:32:06.059Z] Top recommended movies for user id 72:
[2025-12-24T22:32:06.059Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:32:06.059Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:32:06.059Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:32:06.059Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:32:06.059Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:32:06.059Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15877.223 ms) ======
[2025-12-24T22:32:06.059Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-12-24T22:32:06.059Z] GC before operation: completed in 142.508 ms, heap usage 367.684 MB -> 90.561 MB.
[2025-12-24T22:32:08.026Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:32:11.069Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:32:13.046Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:32:15.015Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:32:16.977Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:32:17.933Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:32:19.915Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:32:20.873Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:32:21.831Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:32:21.831Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:32:21.831Z] Top recommended movies for user id 72:
[2025-12-24T22:32:21.831Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:32:21.831Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:32:21.831Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:32:21.831Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:32:21.831Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:32:21.831Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15659.313 ms) ======
[2025-12-24T22:32:21.831Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-12-24T22:32:21.831Z] GC before operation: completed in 151.270 ms, heap usage 313.666 MB -> 90.271 MB.
[2025-12-24T22:32:23.797Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:32:26.830Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:32:29.505Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:32:30.462Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:32:32.424Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:32:33.382Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:32:34.344Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:32:36.341Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:32:36.341Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:32:36.341Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:32:36.341Z] Top recommended movies for user id 72:
[2025-12-24T22:32:36.341Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:32:36.341Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:32:36.341Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:32:36.341Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:32:36.341Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:32:36.341Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14607.784 ms) ======
[2025-12-24T22:32:36.341Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-12-24T22:32:36.341Z] GC before operation: completed in 134.309 ms, heap usage 237.692 MB -> 90.295 MB.
[2025-12-24T22:32:38.303Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-24T22:32:41.335Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-24T22:32:43.309Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-24T22:32:45.295Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-24T22:32:47.267Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-24T22:32:48.227Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-24T22:32:50.191Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-24T22:32:51.148Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-24T22:32:51.148Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-24T22:32:52.104Z] The best model improves the baseline by 14.52%.
[2025-12-24T22:32:52.104Z] Top recommended movies for user id 72:
[2025-12-24T22:32:52.104Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-24T22:32:52.104Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-24T22:32:52.104Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-24T22:32:52.104Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-24T22:32:52.104Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-24T22:32:52.104Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15250.830 ms) ======
[2025-12-24T22:32:52.104Z] -----------------------------------
[2025-12-24T22:32:52.104Z] renaissance-movie-lens_0_PASSED
[2025-12-24T22:32:52.104Z] -----------------------------------
[2025-12-24T22:32:52.104Z]
[2025-12-24T22:32:52.104Z] TEST TEARDOWN:
[2025-12-24T22:32:52.104Z] Nothing to be done for teardown.
[2025-12-24T22:32:52.104Z] renaissance-movie-lens_0 Finish Time: Wed Dec 24 22:32:51 2025 Epoch Time (ms): 1766615571803