[2025-11-20T17:24:20.896Z] Running test renaissance-movie-lens_0 ... [2025-11-20T17:24:20.896Z] =============================================== [2025-11-20T17:24:21.240Z] renaissance-movie-lens_0 Start Time: Thu Nov 20 17:24:20 2025 Epoch Time (ms): 1763659460938 [2025-11-20T17:24:21.240Z] variation: NoOptions [2025-11-20T17:24:21.240Z] JVM_OPTIONS: [2025-11-20T17:24:21.240Z] { \ [2025-11-20T17:24:21.240Z] echo ""; echo "TEST SETUP:"; \ [2025-11-20T17:24:21.240Z] echo "Nothing to be done for setup."; \ [2025-11-20T17:24:21.240Z] mkdir -p "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17636570004825\\renaissance-movie-lens_0"; \ [2025-11-20T17:24:21.240Z] cd "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17636570004825\\renaissance-movie-lens_0"; \ [2025-11-20T17:24:21.240Z] echo ""; echo "TESTING:"; \ [2025-11-20T17:24:21.240Z] "c:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/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 "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17636570004825\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2025-11-20T17:24:21.240Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17636570004825\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-20T17:24:21.240Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-20T17:24:21.240Z] echo "Nothing to be done for teardown."; \ [2025-11-20T17:24:21.241Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17636570004825\\TestTargetResult"; [2025-11-20T17:24:21.617Z] [2025-11-20T17:24:21.617Z] TEST SETUP: [2025-11-20T17:24:21.617Z] Nothing to be done for setup. [2025-11-20T17:24:21.617Z] [2025-11-20T17:24:21.617Z] TESTING: [2025-11-20T17:24:37.439Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-11-20T17:24:45.176Z] 17:24:44.619 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-11-20T17:24:47.818Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-20T17:24:48.558Z] Training: 60056, validation: 20285, test: 19854 [2025-11-20T17:24:48.558Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-20T17:24:48.558Z] GC before operation: completed in 157.692 ms, heap usage 197.354 MB -> 74.964 MB. [2025-11-20T17:25:04.854Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T17:25:15.839Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T17:25:26.740Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T17:25:37.579Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T17:25:43.541Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T17:25:49.556Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T17:25:56.921Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T17:26:01.690Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T17:26:02.150Z] 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. [2025-11-20T17:26:02.150Z] The best model improves the baseline by 14.52%. [2025-11-20T17:26:02.499Z] Top recommended movies for user id 72: [2025-11-20T17:26:02.499Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T17:26:02.499Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T17:26:02.499Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T17:26:02.499Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T17:26:02.499Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T17:26:02.499Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (73950.138 ms) ====== [2025-11-20T17:26:02.499Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-20T17:26:02.499Z] GC before operation: completed in 169.867 ms, heap usage 232.168 MB -> 85.838 MB. [2025-11-20T17:26:13.425Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T17:26:22.350Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T17:26:31.304Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T17:26:40.226Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T17:26:45.027Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T17:26:49.819Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T17:26:55.812Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T17:27:00.576Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T17:27:00.938Z] 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. [2025-11-20T17:27:00.938Z] The best model improves the baseline by 14.52%. [2025-11-20T17:27:01.336Z] Top recommended movies for user id 72: [2025-11-20T17:27:01.336Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T17:27:01.336Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T17:27:01.336Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T17:27:01.336Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T17:27:01.336Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T17:27:01.336Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (58696.994 ms) ====== [2025-11-20T17:27:01.336Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-20T17:27:01.687Z] GC before operation: completed in 154.982 ms, heap usage 207.978 MB -> 87.948 MB. [2025-11-20T17:27:10.640Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T17:27:19.540Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T17:27:28.485Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T17:27:37.371Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T17:27:42.210Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T17:27:46.990Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T17:27:51.753Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T17:27:56.550Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T17:27:56.896Z] 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. [2025-11-20T17:27:56.896Z] The best model improves the baseline by 14.52%. [2025-11-20T17:27:57.333Z] Top recommended movies for user id 72: [2025-11-20T17:27:57.333Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T17:27:57.333Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T17:27:57.333Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T17:27:57.333Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T17:27:57.333Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T17:27:57.333Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (55852.649 ms) ====== [2025-11-20T17:27:57.333Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-20T17:27:57.761Z] GC before operation: completed in 169.499 ms, heap usage 179.563 MB -> 88.561 MB. [2025-11-20T17:28:06.695Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T17:28:15.593Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T17:28:24.572Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T17:28:33.536Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T17:28:37.335Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T17:28:43.266Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T17:28:49.189Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T17:28:54.010Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T17:28:54.352Z] 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. [2025-11-20T17:28:54.352Z] The best model improves the baseline by 14.52%. [2025-11-20T17:28:54.753Z] Top recommended movies for user id 72: [2025-11-20T17:28:54.753Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T17:28:54.753Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T17:28:54.753Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T17:28:54.753Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T17:28:54.753Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T17:28:54.753Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (57225.177 ms) ====== [2025-11-20T17:28:54.753Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-20T17:28:55.101Z] GC before operation: completed in 156.059 ms, heap usage 121.510 MB -> 88.767 MB. [2025-11-20T17:29:04.094Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T17:29:13.021Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T17:29:21.942Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T17:29:30.926Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T17:29:34.779Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T17:29:39.561Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T17:29:45.473Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T17:29:50.296Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T17:29:50.643Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T17:29:50.643Z] The best model improves the baseline by 14.52%. [2025-11-20T17:29:51.006Z] Top recommended movies for user id 72: [2025-11-20T17:29:51.006Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T17:29:51.006Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T17:29:51.006Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T17:29:51.006Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T17:29:51.006Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T17:29:51.006Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (55966.406 ms) ====== [2025-11-20T17:29:51.006Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-20T17:29:51.006Z] GC before operation: completed in 158.788 ms, heap usage 118.850 MB -> 88.694 MB. [2025-11-20T17:29:59.956Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T17:30:09.070Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T17:30:17.967Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T17:30:26.839Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T17:30:30.662Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T17:30:35.446Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T17:30:41.486Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T17:30:45.274Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T17:30:46.007Z] 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. [2025-11-20T17:30:46.007Z] The best model improves the baseline by 14.52%. [2025-11-20T17:30:46.354Z] Top recommended movies for user id 72: [2025-11-20T17:30:46.354Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T17:30:46.354Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T17:30:46.354Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T17:30:46.354Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T17:30:46.354Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T17:30:46.354Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (55186.386 ms) ====== [2025-11-20T17:30:46.354Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-20T17:30:46.354Z] GC before operation: completed in 181.796 ms, heap usage 197.195 MB -> 89.135 MB. [2025-11-20T17:30:55.311Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T17:31:04.265Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T17:31:13.196Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T17:31:20.486Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T17:31:25.254Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T17:31:30.076Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T17:31:36.036Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T17:31:40.836Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T17:31:40.836Z] 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. [2025-11-20T17:31:40.836Z] The best model improves the baseline by 14.52%. [2025-11-20T17:31:41.223Z] Top recommended movies for user id 72: [2025-11-20T17:31:41.223Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T17:31:41.223Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T17:31:41.223Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T17:31:41.223Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T17:31:41.223Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T17:31:41.223Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (54813.097 ms) ====== [2025-11-20T17:31:41.223Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-20T17:31:41.223Z] GC before operation: completed in 154.207 ms, heap usage 216.077 MB -> 89.059 MB. [2025-11-20T17:31:50.153Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T17:31:59.161Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T17:32:08.098Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T17:32:17.032Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T17:32:20.826Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T17:32:25.612Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T17:32:31.581Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T17:32:36.339Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T17:32:36.339Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T17:32:36.339Z] The best model improves the baseline by 14.52%. [2025-11-20T17:32:36.697Z] Top recommended movies for user id 72: [2025-11-20T17:32:36.697Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T17:32:36.697Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T17:32:36.697Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T17:32:36.697Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T17:32:36.697Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T17:32:36.697Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (55255.449 ms) ====== [2025-11-20T17:32:36.697Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-20T17:32:36.697Z] GC before operation: completed in 165.122 ms, heap usage 200.444 MB -> 89.262 MB. [2025-11-20T17:32:45.606Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T17:32:54.527Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T17:33:03.501Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T17:33:10.795Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T17:33:15.596Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T17:33:20.397Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T17:33:26.368Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T17:33:31.145Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T17:33:31.145Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T17:33:31.497Z] The best model improves the baseline by 14.52%. [2025-11-20T17:33:31.878Z] Top recommended movies for user id 72: [2025-11-20T17:33:31.878Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T17:33:31.878Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T17:33:31.878Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T17:33:31.878Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T17:33:31.878Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T17:33:31.878Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (54869.134 ms) ====== [2025-11-20T17:33:31.878Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-20T17:33:31.878Z] GC before operation: completed in 149.865 ms, heap usage 217.807 MB -> 89.132 MB. [2025-11-20T17:33:40.841Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T17:33:48.146Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T17:33:58.942Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T17:34:06.202Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T17:34:10.988Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T17:34:17.012Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T17:34:20.790Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T17:34:25.556Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T17:34:26.298Z] 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. [2025-11-20T17:34:26.298Z] The best model improves the baseline by 14.52%. [2025-11-20T17:34:26.642Z] Top recommended movies for user id 72: [2025-11-20T17:34:26.642Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T17:34:26.642Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T17:34:26.642Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T17:34:26.642Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T17:34:26.642Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T17:34:26.642Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (54795.915 ms) ====== [2025-11-20T17:34:26.642Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-20T17:34:26.642Z] GC before operation: completed in 147.443 ms, heap usage 182.296 MB -> 89.319 MB. [2025-11-20T17:34:35.555Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T17:34:44.482Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T17:34:55.299Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T17:35:02.601Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T17:35:07.388Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T17:35:12.256Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T17:35:18.201Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T17:35:21.997Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T17:35:22.727Z] 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. [2025-11-20T17:35:22.727Z] The best model improves the baseline by 14.52%. [2025-11-20T17:35:23.119Z] Top recommended movies for user id 72: [2025-11-20T17:35:23.120Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T17:35:23.120Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T17:35:23.120Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T17:35:23.120Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T17:35:23.120Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T17:35:23.120Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (56331.883 ms) ====== [2025-11-20T17:35:23.120Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-20T17:35:23.120Z] GC before operation: completed in 158.388 ms, heap usage 184.840 MB -> 89.065 MB. [2025-11-20T17:35:32.069Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T17:35:40.990Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T17:35:51.848Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T17:35:59.381Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T17:36:03.204Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T17:36:07.968Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T17:36:13.908Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T17:36:18.749Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T17:36:18.749Z] 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. [2025-11-20T17:36:18.749Z] The best model improves the baseline by 14.52%. [2025-11-20T17:36:19.089Z] Top recommended movies for user id 72: [2025-11-20T17:36:19.089Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T17:36:19.089Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T17:36:19.089Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T17:36:19.089Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T17:36:19.089Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T17:36:19.089Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (55791.166 ms) ====== [2025-11-20T17:36:19.089Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-20T17:36:19.089Z] GC before operation: completed in 154.647 ms, heap usage 217.228 MB -> 89.282 MB. [2025-11-20T17:36:27.978Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T17:36:36.897Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T17:36:45.849Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T17:36:53.148Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T17:36:59.076Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T17:37:03.850Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T17:37:08.636Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T17:37:13.390Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T17:37:14.107Z] 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. [2025-11-20T17:37:14.107Z] The best model improves the baseline by 14.52%. [2025-11-20T17:37:14.452Z] Top recommended movies for user id 72: [2025-11-20T17:37:14.452Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T17:37:14.452Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T17:37:14.452Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T17:37:14.452Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T17:37:14.452Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T17:37:14.452Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (55207.585 ms) ====== [2025-11-20T17:37:14.452Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-20T17:37:14.452Z] GC before operation: completed in 158.737 ms, heap usage 180.538 MB -> 89.389 MB. [2025-11-20T17:37:23.389Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T17:37:32.362Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T17:37:41.280Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T17:37:50.173Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T17:37:56.127Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T17:38:00.962Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T17:38:06.899Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T17:38:11.658Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T17:38:12.011Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-20T17:38:12.473Z] The best model improves the baseline by 14.52%. [2025-11-20T17:38:12.473Z] Top recommended movies for user id 72: [2025-11-20T17:38:12.473Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T17:38:12.473Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T17:38:12.473Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T17:38:12.473Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T17:38:12.473Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T17:38:12.473Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (57916.541 ms) ====== [2025-11-20T17:38:12.473Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-20T17:38:12.815Z] GC before operation: completed in 158.941 ms, heap usage 218.524 MB -> 89.198 MB. [2025-11-20T17:38:21.738Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T17:38:29.140Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T17:38:39.962Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T17:38:47.253Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T17:38:52.007Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T17:38:55.815Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T17:39:01.812Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T17:39:06.563Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T17:39:06.922Z] 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. [2025-11-20T17:39:06.922Z] The best model improves the baseline by 14.52%. [2025-11-20T17:39:07.264Z] Top recommended movies for user id 72: [2025-11-20T17:39:07.264Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T17:39:07.264Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T17:39:07.264Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T17:39:07.264Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T17:39:07.264Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T17:39:07.264Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (54442.827 ms) ====== [2025-11-20T17:39:07.264Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-20T17:39:07.264Z] GC before operation: completed in 156.501 ms, heap usage 197.248 MB -> 89.420 MB. [2025-11-20T17:39:16.181Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T17:39:25.087Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T17:39:34.004Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T17:39:41.299Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T17:39:47.192Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T17:39:50.988Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T17:39:56.901Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T17:40:01.689Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T17:40:01.689Z] 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. [2025-11-20T17:40:01.689Z] The best model improves the baseline by 14.52%. [2025-11-20T17:40:02.050Z] Top recommended movies for user id 72: [2025-11-20T17:40:02.050Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T17:40:02.050Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T17:40:02.050Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T17:40:02.050Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T17:40:02.050Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T17:40:02.050Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (54655.755 ms) ====== [2025-11-20T17:40:02.050Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-20T17:40:02.050Z] GC before operation: completed in 159.466 ms, heap usage 181.486 MB -> 89.272 MB. [2025-11-20T17:40:11.017Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T17:40:18.375Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T17:40:29.286Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T17:40:36.589Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T17:40:41.356Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T17:40:46.101Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T17:40:52.040Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T17:40:56.880Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T17:40:56.880Z] 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. [2025-11-20T17:40:56.880Z] The best model improves the baseline by 14.52%. [2025-11-20T17:40:57.223Z] Top recommended movies for user id 72: [2025-11-20T17:40:57.223Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T17:40:57.223Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T17:40:57.223Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T17:40:57.223Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T17:40:57.223Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T17:40:57.223Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (54982.372 ms) ====== [2025-11-20T17:40:57.223Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-20T17:40:57.223Z] GC before operation: completed in 151.333 ms, heap usage 183.342 MB -> 89.349 MB. [2025-11-20T17:41:06.163Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T17:41:15.026Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T17:41:23.924Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T17:41:32.821Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T17:41:36.603Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T17:41:41.378Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T17:41:47.300Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T17:41:52.232Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T17:41:52.232Z] 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. [2025-11-20T17:41:52.232Z] The best model improves the baseline by 14.52%. [2025-11-20T17:41:52.573Z] Top recommended movies for user id 72: [2025-11-20T17:41:52.573Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T17:41:52.573Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T17:41:52.573Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T17:41:52.573Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T17:41:52.573Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T17:41:52.573Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (55047.962 ms) ====== [2025-11-20T17:41:52.573Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-20T17:41:52.573Z] GC before operation: completed in 156.720 ms, heap usage 203.455 MB -> 89.206 MB. [2025-11-20T17:42:01.485Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T17:42:08.755Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T17:42:19.559Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T17:42:26.829Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T17:42:30.641Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T17:42:35.387Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T17:42:41.323Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T17:42:46.106Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T17:42:46.106Z] 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. [2025-11-20T17:42:46.106Z] The best model improves the baseline by 14.52%. [2025-11-20T17:42:46.459Z] Top recommended movies for user id 72: [2025-11-20T17:42:46.460Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T17:42:46.460Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T17:42:46.460Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T17:42:46.460Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T17:42:46.460Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T17:42:46.460Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (53906.433 ms) ====== [2025-11-20T17:42:46.460Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-20T17:42:46.460Z] GC before operation: completed in 159.347 ms, heap usage 202.909 MB -> 89.300 MB. [2025-11-20T17:42:55.459Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T17:43:04.358Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T17:43:13.298Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T17:43:20.576Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T17:43:25.365Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T17:43:30.166Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T17:43:36.126Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T17:43:42.051Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T17:43:42.051Z] 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. [2025-11-20T17:43:42.051Z] The best model improves the baseline by 14.52%. [2025-11-20T17:43:42.051Z] Top recommended movies for user id 72: [2025-11-20T17:43:42.051Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-20T17:43:42.051Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-20T17:43:42.051Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-20T17:43:42.051Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-20T17:43:42.051Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-20T17:43:42.051Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (55700.044 ms) ====== [2025-11-20T17:43:42.771Z] ----------------------------------- [2025-11-20T17:43:42.771Z] renaissance-movie-lens_0_PASSED [2025-11-20T17:43:42.771Z] ----------------------------------- [2025-11-20T17:43:43.111Z] [2025-11-20T17:43:43.111Z] TEST TEARDOWN: [2025-11-20T17:43:43.111Z] Nothing to be done for teardown. [2025-11-20T17:43:43.446Z] renaissance-movie-lens_0 Finish Time: Thu Nov 20 17:43:43 2025 Epoch Time (ms): 1763660623216