renaissance-movie-lens_0
[2025-07-01T04:26:58.071Z] Running test renaissance-movie-lens_0 ...
[2025-07-01T04:26:58.071Z] ===============================================
[2025-07-01T04:26:58.071Z] renaissance-movie-lens_0 Start Time: Tue Jul 1 04:26:57 2025 Epoch Time (ms): 1751344017421
[2025-07-01T04:26:58.071Z] variation: NoOptions
[2025-07-01T04:26:58.071Z] JVM_OPTIONS:
[2025-07-01T04:26:58.071Z] { \
[2025-07-01T04:26:58.071Z] echo ""; echo "TEST SETUP:"; \
[2025-07-01T04:26:58.071Z] echo "Nothing to be done for setup."; \
[2025-07-01T04:26:58.071Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17513428052603/renaissance-movie-lens_0"; \
[2025-07-01T04:26:58.071Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17513428052603/renaissance-movie-lens_0"; \
[2025-07-01T04:26:58.071Z] echo ""; echo "TESTING:"; \
[2025-07-01T04:26:58.071Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/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_aarch64_linux_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17513428052603/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-07-01T04:26:58.071Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17513428052603/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-07-01T04:26:58.071Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-07-01T04:26:58.071Z] echo "Nothing to be done for teardown."; \
[2025-07-01T04:26:58.071Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17513428052603/TestTargetResult";
[2025-07-01T04:26:58.071Z]
[2025-07-01T04:26:58.071Z] TEST SETUP:
[2025-07-01T04:26:58.071Z] Nothing to be done for setup.
[2025-07-01T04:26:58.071Z]
[2025-07-01T04:26:58.071Z] TESTING:
[2025-07-01T04:27:05.795Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-07-01T04:27:15.300Z] 04:27:14.496 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-07-01T04:27:17.185Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-07-01T04:27:18.017Z] Training: 60056, validation: 20285, test: 19854
[2025-07-01T04:27:18.017Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-07-01T04:27:18.017Z] GC before operation: completed in 146.235 ms, heap usage 230.982 MB -> 76.070 MB.
[2025-07-01T04:27:27.651Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T04:27:32.019Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T04:27:36.216Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T04:27:40.408Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T04:27:43.002Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T04:27:45.591Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T04:27:47.461Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T04:27:50.003Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T04:27:50.003Z] 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.
[2025-07-01T04:27:50.401Z] The best model improves the baseline by 14.52%.
[2025-07-01T04:27:50.813Z] Top recommended movies for user id 72:
[2025-07-01T04:27:50.813Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-01T04:27:50.813Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-01T04:27:50.813Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-01T04:27:50.813Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-01T04:27:50.813Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-01T04:27:50.813Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (32413.747 ms) ======
[2025-07-01T04:27:50.813Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-07-01T04:27:50.813Z] GC before operation: completed in 145.077 ms, heap usage 458.358 MB -> 87.008 MB.
[2025-07-01T04:27:54.990Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T04:27:59.114Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T04:28:02.440Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T04:28:05.690Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T04:28:08.199Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T04:28:10.719Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T04:28:12.595Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T04:28:15.168Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T04:28:15.169Z] 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.
[2025-07-01T04:28:15.169Z] The best model improves the baseline by 14.52%.
[2025-07-01T04:28:15.698Z] Top recommended movies for user id 72:
[2025-07-01T04:28:15.698Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-01T04:28:15.698Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-01T04:28:15.698Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-01T04:28:15.698Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-01T04:28:15.698Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-01T04:28:15.698Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (24649.117 ms) ======
[2025-07-01T04:28:15.698Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-07-01T04:28:15.698Z] GC before operation: completed in 145.988 ms, heap usage 93.966 MB -> 89.169 MB.
[2025-07-01T04:28:19.001Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T04:28:22.319Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T04:28:25.568Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T04:28:28.851Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T04:28:30.760Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T04:28:32.660Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T04:28:34.584Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T04:28:36.470Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T04:28:36.470Z] 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.
[2025-07-01T04:28:36.470Z] The best model improves the baseline by 14.52%.
[2025-07-01T04:28:36.846Z] Top recommended movies for user id 72:
[2025-07-01T04:28:36.846Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-01T04:28:36.846Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-01T04:28:36.846Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-01T04:28:36.846Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-01T04:28:36.846Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-01T04:28:36.846Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21151.488 ms) ======
[2025-07-01T04:28:36.846Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-07-01T04:28:36.846Z] GC before operation: completed in 156.221 ms, heap usage 464.843 MB -> 89.861 MB.
[2025-07-01T04:28:40.111Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T04:28:43.493Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T04:28:46.011Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T04:28:49.268Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T04:28:51.143Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T04:28:52.991Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T04:28:54.890Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T04:28:56.804Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T04:28:57.229Z] 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.
[2025-07-01T04:28:57.229Z] The best model improves the baseline by 14.52%.
[2025-07-01T04:28:57.229Z] Top recommended movies for user id 72:
[2025-07-01T04:28:57.229Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-01T04:28:57.229Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-01T04:28:57.229Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-01T04:28:57.229Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-01T04:28:57.229Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-01T04:28:57.229Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20460.471 ms) ======
[2025-07-01T04:28:57.229Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-07-01T04:28:57.612Z] GC before operation: completed in 149.463 ms, heap usage 472.326 MB -> 90.132 MB.
[2025-07-01T04:29:00.857Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T04:29:04.148Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T04:29:07.564Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T04:29:10.825Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T04:29:12.727Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T04:29:14.593Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T04:29:16.430Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T04:29:18.977Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T04:29:18.977Z] 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.
[2025-07-01T04:29:18.977Z] The best model improves the baseline by 14.52%.
[2025-07-01T04:29:18.977Z] Top recommended movies for user id 72:
[2025-07-01T04:29:18.977Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-01T04:29:18.977Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-01T04:29:18.977Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-01T04:29:18.977Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-01T04:29:18.977Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-01T04:29:18.977Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21614.158 ms) ======
[2025-07-01T04:29:18.977Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-07-01T04:29:19.391Z] GC before operation: completed in 141.647 ms, heap usage 459.824 MB -> 90.063 MB.
[2025-07-01T04:29:22.678Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T04:29:25.931Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T04:29:29.262Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T04:29:32.525Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T04:29:34.499Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T04:29:36.436Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T04:29:38.277Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T04:29:40.122Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T04:29:40.510Z] 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.
[2025-07-01T04:29:40.510Z] The best model improves the baseline by 14.52%.
[2025-07-01T04:29:40.510Z] Top recommended movies for user id 72:
[2025-07-01T04:29:40.510Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-01T04:29:40.510Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-01T04:29:40.510Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-01T04:29:40.510Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-01T04:29:40.510Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-01T04:29:40.510Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (21394.668 ms) ======
[2025-07-01T04:29:40.510Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-07-01T04:29:40.902Z] GC before operation: completed in 143.473 ms, heap usage 342.156 MB -> 90.238 MB.
[2025-07-01T04:29:44.172Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T04:29:46.705Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T04:29:49.986Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T04:29:53.313Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T04:29:54.635Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T04:29:56.486Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T04:29:58.451Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T04:30:00.295Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T04:30:00.695Z] 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.
[2025-07-01T04:30:00.695Z] The best model improves the baseline by 14.52%.
[2025-07-01T04:30:00.695Z] Top recommended movies for user id 72:
[2025-07-01T04:30:00.695Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-01T04:30:00.695Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-01T04:30:00.695Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-01T04:30:00.695Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-01T04:30:00.695Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-01T04:30:00.695Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20102.405 ms) ======
[2025-07-01T04:30:00.695Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-07-01T04:30:01.069Z] GC before operation: completed in 142.121 ms, heap usage 181.177 MB -> 90.012 MB.
[2025-07-01T04:30:04.357Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T04:30:06.871Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T04:30:10.165Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T04:30:13.434Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T04:30:14.731Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T04:30:16.620Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T04:30:18.470Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T04:30:20.982Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T04:30:20.982Z] 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.
[2025-07-01T04:30:20.982Z] The best model improves the baseline by 14.52%.
[2025-07-01T04:30:21.365Z] Top recommended movies for user id 72:
[2025-07-01T04:30:21.365Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-01T04:30:21.365Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-01T04:30:21.365Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-01T04:30:21.365Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-01T04:30:21.365Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-01T04:30:21.365Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20169.838 ms) ======
[2025-07-01T04:30:21.365Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-07-01T04:30:21.365Z] GC before operation: completed in 149.451 ms, heap usage 415.768 MB -> 90.510 MB.
[2025-07-01T04:30:24.622Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T04:30:27.307Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T04:30:30.569Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T04:30:33.795Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T04:30:35.682Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T04:30:37.540Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T04:30:39.406Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T04:30:41.270Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T04:30:41.652Z] 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.
[2025-07-01T04:30:41.652Z] The best model improves the baseline by 14.52%.
[2025-07-01T04:30:42.035Z] Top recommended movies for user id 72:
[2025-07-01T04:30:42.035Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-01T04:30:42.035Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-01T04:30:42.035Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-01T04:30:42.035Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-01T04:30:42.035Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-01T04:30:42.035Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20540.666 ms) ======
[2025-07-01T04:30:42.035Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-07-01T04:30:42.035Z] GC before operation: completed in 140.014 ms, heap usage 236.321 MB -> 90.151 MB.
[2025-07-01T04:30:45.353Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T04:30:47.850Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T04:30:50.470Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T04:30:53.797Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T04:30:55.081Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T04:30:57.003Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T04:30:58.863Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T04:31:00.181Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T04:31:00.557Z] 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.
[2025-07-01T04:31:00.557Z] The best model improves the baseline by 14.52%.
[2025-07-01T04:31:00.929Z] Top recommended movies for user id 72:
[2025-07-01T04:31:00.929Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-01T04:31:00.929Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-01T04:31:00.929Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-01T04:31:00.929Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-01T04:31:00.929Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-01T04:31:00.929Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18849.930 ms) ======
[2025-07-01T04:31:00.929Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-07-01T04:31:00.929Z] GC before operation: completed in 144.268 ms, heap usage 424.087 MB -> 90.600 MB.
[2025-07-01T04:31:04.163Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T04:31:06.648Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T04:31:09.932Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T04:31:12.450Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T04:31:14.346Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T04:31:16.258Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T04:31:18.281Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T04:31:20.135Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T04:31:20.135Z] 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.
[2025-07-01T04:31:20.135Z] The best model improves the baseline by 14.52%.
[2025-07-01T04:31:20.517Z] Top recommended movies for user id 72:
[2025-07-01T04:31:20.517Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-01T04:31:20.517Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-01T04:31:20.517Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-01T04:31:20.517Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-01T04:31:20.517Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-01T04:31:20.517Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19415.018 ms) ======
[2025-07-01T04:31:20.517Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-07-01T04:31:20.517Z] GC before operation: completed in 147.965 ms, heap usage 344.249 MB -> 90.126 MB.
[2025-07-01T04:31:23.806Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T04:31:26.333Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T04:31:29.630Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T04:31:32.884Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T04:31:34.206Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T04:31:36.077Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T04:31:37.932Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T04:31:39.859Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T04:31:40.267Z] 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.
[2025-07-01T04:31:40.267Z] The best model improves the baseline by 14.52%.
[2025-07-01T04:31:40.267Z] Top recommended movies for user id 72:
[2025-07-01T04:31:40.267Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-01T04:31:40.267Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-01T04:31:40.267Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-01T04:31:40.267Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-01T04:31:40.267Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-01T04:31:40.267Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19740.312 ms) ======
[2025-07-01T04:31:40.267Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-07-01T04:31:40.640Z] GC before operation: completed in 143.148 ms, heap usage 315.787 MB -> 90.352 MB.
[2025-07-01T04:31:44.054Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T04:31:46.582Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T04:31:49.872Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T04:31:52.369Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T04:31:54.261Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T04:31:56.144Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T04:31:58.031Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T04:31:59.879Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T04:32:00.261Z] 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.
[2025-07-01T04:32:00.633Z] The best model improves the baseline by 14.52%.
[2025-07-01T04:32:00.633Z] Top recommended movies for user id 72:
[2025-07-01T04:32:00.633Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-01T04:32:00.633Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-01T04:32:00.633Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-01T04:32:00.633Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-01T04:32:00.633Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-01T04:32:00.633Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20218.573 ms) ======
[2025-07-01T04:32:00.633Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-07-01T04:32:00.633Z] GC before operation: completed in 137.740 ms, heap usage 432.984 MB -> 90.649 MB.
[2025-07-01T04:32:03.907Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T04:32:07.176Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T04:32:10.441Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T04:32:12.952Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T04:32:14.830Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T04:32:16.753Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T04:32:18.655Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T04:32:20.550Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T04:32:20.550Z] 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.
[2025-07-01T04:32:20.938Z] The best model improves the baseline by 14.52%.
[2025-07-01T04:32:20.938Z] Top recommended movies for user id 72:
[2025-07-01T04:32:20.938Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-01T04:32:20.938Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-01T04:32:20.938Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-01T04:32:20.938Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-01T04:32:20.938Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-01T04:32:20.938Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20135.490 ms) ======
[2025-07-01T04:32:20.938Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-07-01T04:32:20.938Z] GC before operation: completed in 149.701 ms, heap usage 150.326 MB -> 92.235 MB.
[2025-07-01T04:32:24.190Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T04:32:27.456Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T04:32:29.963Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T04:32:33.246Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T04:32:35.133Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T04:32:36.500Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T04:32:38.413Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T04:32:40.305Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T04:32:40.744Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-07-01T04:32:40.744Z] The best model improves the baseline by 14.52%.
[2025-07-01T04:32:40.744Z] Top recommended movies for user id 72:
[2025-07-01T04:32:40.744Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-01T04:32:40.744Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-01T04:32:40.744Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-01T04:32:40.744Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-01T04:32:40.744Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-01T04:32:40.744Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19803.162 ms) ======
[2025-07-01T04:32:40.744Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-07-01T04:32:41.140Z] GC before operation: completed in 143.811 ms, heap usage 345.466 MB -> 90.500 MB.
[2025-07-01T04:32:44.457Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T04:32:47.001Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T04:32:50.289Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T04:32:52.821Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T04:32:54.687Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T04:32:56.537Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T04:32:59.186Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T04:33:00.480Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T04:33:00.878Z] 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.
[2025-07-01T04:33:00.878Z] The best model improves the baseline by 14.52%.
[2025-07-01T04:33:00.878Z] Top recommended movies for user id 72:
[2025-07-01T04:33:00.878Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-01T04:33:00.878Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-01T04:33:00.878Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-01T04:33:00.878Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-01T04:33:00.878Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-01T04:33:00.878Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20004.277 ms) ======
[2025-07-01T04:33:00.878Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-07-01T04:33:01.261Z] GC before operation: completed in 152.820 ms, heap usage 368.730 MB -> 90.431 MB.
[2025-07-01T04:33:04.529Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T04:33:07.079Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T04:33:10.369Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T04:33:13.623Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T04:33:14.910Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T04:33:16.744Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T04:33:18.607Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T04:33:20.450Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T04:33:20.848Z] 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.
[2025-07-01T04:33:20.848Z] The best model improves the baseline by 14.52%.
[2025-07-01T04:33:20.848Z] Top recommended movies for user id 72:
[2025-07-01T04:33:20.848Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-01T04:33:20.848Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-01T04:33:20.848Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-01T04:33:20.848Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-01T04:33:20.848Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-01T04:33:20.848Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19688.064 ms) ======
[2025-07-01T04:33:20.848Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-07-01T04:33:21.220Z] GC before operation: completed in 146.447 ms, heap usage 258.596 MB -> 90.434 MB.
[2025-07-01T04:33:23.828Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T04:33:27.189Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T04:33:29.690Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T04:33:32.192Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T04:33:34.060Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T04:33:35.370Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T04:33:37.234Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T04:33:39.130Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T04:33:39.524Z] 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.
[2025-07-01T04:33:39.524Z] The best model improves the baseline by 14.52%.
[2025-07-01T04:33:39.524Z] Top recommended movies for user id 72:
[2025-07-01T04:33:39.524Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-01T04:33:39.524Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-01T04:33:39.524Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-01T04:33:39.524Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-01T04:33:39.524Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-01T04:33:39.524Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18528.894 ms) ======
[2025-07-01T04:33:39.524Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-07-01T04:33:39.904Z] GC before operation: completed in 145.571 ms, heap usage 124.884 MB -> 92.979 MB.
[2025-07-01T04:33:42.388Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T04:33:45.665Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T04:33:48.175Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T04:33:50.818Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T04:33:52.684Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T04:33:53.992Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T04:33:55.849Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T04:33:57.729Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T04:33:58.131Z] 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.
[2025-07-01T04:33:58.131Z] The best model improves the baseline by 14.52%.
[2025-07-01T04:33:58.531Z] Top recommended movies for user id 72:
[2025-07-01T04:33:58.531Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-01T04:33:58.531Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-01T04:33:58.531Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-01T04:33:58.531Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-01T04:33:58.531Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-01T04:33:58.531Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18611.012 ms) ======
[2025-07-01T04:33:58.531Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-07-01T04:33:58.531Z] GC before operation: completed in 148.086 ms, heap usage 326.464 MB -> 90.344 MB.
[2025-07-01T04:34:01.789Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-01T04:34:04.320Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-01T04:34:07.602Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-01T04:34:10.863Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-01T04:34:12.754Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-01T04:34:14.595Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-01T04:34:16.560Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-01T04:34:18.010Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-01T04:34:18.410Z] 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.
[2025-07-01T04:34:18.410Z] The best model improves the baseline by 14.52%.
[2025-07-01T04:34:18.781Z] Top recommended movies for user id 72:
[2025-07-01T04:34:18.781Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-01T04:34:18.781Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-01T04:34:18.781Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-01T04:34:18.781Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-01T04:34:18.781Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-01T04:34:18.781Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (20139.422 ms) ======
[2025-07-01T04:34:19.160Z] -----------------------------------
[2025-07-01T04:34:19.160Z] renaissance-movie-lens_0_PASSED
[2025-07-01T04:34:19.160Z] -----------------------------------
[2025-07-01T04:34:19.160Z]
[2025-07-01T04:34:19.160Z] TEST TEARDOWN:
[2025-07-01T04:34:19.160Z] Nothing to be done for teardown.
[2025-07-01T04:34:19.160Z] renaissance-movie-lens_0 Finish Time: Tue Jul 1 04:34:19 2025 Epoch Time (ms): 1751344459063