OpenML
Supervised Classification on fri_c2_100_5

Supervised Classification on fri_c2_100_5

Task 3592 Supervised Classification fri_c2_100_5 905 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

905 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.6488, kappa: 0.2609, kb_relative_information_score: 14.4979, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6514, predictive_accuracy: 0.66, prior_entropy: 0.9721, recall: 0.66, relative_absolute_error: 0.8617, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.8313, kappa: 0.6531, kb_relative_information_score: 52.3243, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8368, predictive_accuracy: 0.83, prior_entropy: 0.9721, recall: 0.83, relative_absolute_error: 0.4939, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.8061, kappa: 0.5923, kb_relative_information_score: 44.8598, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8109, predictive_accuracy: 0.81, prior_entropy: 0.9721, recall: 0.81, relative_absolute_error: 0.5758, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.45, kb_relative_information_score: 4.9694, mean_absolute_error: 0.459, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4818, root_relative_squared_error: 0.9835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.45, kb_relative_information_score: 4.9694, mean_absolute_error: 0.459, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4818, root_relative_squared_error: 0.9835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.45, kb_relative_information_score: 4.9694, mean_absolute_error: 0.459, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4818, root_relative_squared_error: 0.9835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.6488, kappa: 0.2609, kb_relative_information_score: 14.4979, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6514, predictive_accuracy: 0.66, prior_entropy: 0.9721, recall: 0.66, relative_absolute_error: 0.8617, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.8313, kappa: 0.6531, kb_relative_information_score: 52.3243, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8368, predictive_accuracy: 0.83, prior_entropy: 0.9721, recall: 0.83, relative_absolute_error: 0.4939, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.8061, kappa: 0.5923, kb_relative_information_score: 44.8598, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8109, predictive_accuracy: 0.81, prior_entropy: 0.9721, recall: 0.81, relative_absolute_error: 0.5758, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.45, kb_relative_information_score: 4.9694, mean_absolute_error: 0.459, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4818, root_relative_squared_error: 0.9835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6631, f_measure: 0.728, kappa: 0.4304, kb_relative_information_score: 29.3625, mean_absolute_error: 0.3523, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7274, predictive_accuracy: 0.73, prior_entropy: 0.9721, recall: 0.73, relative_absolute_error: 0.7333, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4531, root_relative_squared_error: 0.9249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.6488, kappa: 0.2609, kb_relative_information_score: 14.4979, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6514, predictive_accuracy: 0.66, prior_entropy: 0.9721, recall: 0.66, relative_absolute_error: 0.8617, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.8313, kappa: 0.6531, kb_relative_information_score: 52.3243, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8368, predictive_accuracy: 0.83, prior_entropy: 0.9721, recall: 0.83, relative_absolute_error: 0.4939, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.8313, kappa: 0.6531, kb_relative_information_score: 52.3243, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8368, predictive_accuracy: 0.83, prior_entropy: 0.9721, recall: 0.83, relative_absolute_error: 0.4939, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.8061, kappa: 0.5923, kb_relative_information_score: 44.8598, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8109, predictive_accuracy: 0.81, prior_entropy: 0.9721, recall: 0.81, relative_absolute_error: 0.5758, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.8061, kappa: 0.5923, kb_relative_information_score: 44.8598, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8109, predictive_accuracy: 0.81, prior_entropy: 0.9721, recall: 0.81, relative_absolute_error: 0.5758, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.8061, kappa: 0.5923, kb_relative_information_score: 44.8598, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8109, predictive_accuracy: 0.81, prior_entropy: 0.9721, recall: 0.81, relative_absolute_error: 0.5758, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.8313, kappa: 0.6531, kb_relative_information_score: 52.3243, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8368, predictive_accuracy: 0.83, prior_entropy: 0.9721, recall: 0.83, relative_absolute_error: 0.4939, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.6488, kappa: 0.2609, kb_relative_information_score: 14.4979, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6514, predictive_accuracy: 0.66, prior_entropy: 0.9721, recall: 0.66, relative_absolute_error: 0.8617, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.7061, kappa: 0.383, kb_relative_information_score: 27.3892, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7059, predictive_accuracy: 0.71, prior_entropy: 0.9721, recall: 0.71, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9668, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.756, kappa: 0.4872, kb_relative_information_score: 40.2567, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7578, predictive_accuracy: 0.76, prior_entropy: 0.9721, recall: 0.76, relative_absolute_error: 0.6115, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8507, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.798, kappa: 0.5763, kb_relative_information_score: 49.8001, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7986, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.5126, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8599, scimark_benchmark: 851.2074, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, f_measure: 0.7634, kappa: 0.5022, kb_relative_information_score: 51.2252, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7705, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9789, scimark_benchmark: 931.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7429, kappa: 0.4589, kb_relative_information_score: 40.0077, mean_absolute_error: 0.2966, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7489, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.6174, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8349, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, f_measure: 0.7634, kappa: 0.5022, kb_relative_information_score: 51.2252, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7705, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.6927, kappa: 0.3534, kb_relative_information_score: 19.1588, mean_absolute_error: 0.3953, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6949, predictive_accuracy: 0.7, prior_entropy: 0.9721, recall: 0.7, relative_absolute_error: 0.8228, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9241, scimark_benchmark: 943.8235, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7483, f_measure: 0.7695, kappa: 0.5188, kb_relative_information_score: 38.6118, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7691, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.638, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8962, scimark_benchmark: 927.2917, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, f_measure: 0.7634, kappa: 0.5022, kb_relative_information_score: 51.2252, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7705, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9789, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.7495, kappa: 0.477, kb_relative_information_score: 44.541, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7491, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8874, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7483, f_measure: 0.7695, kappa: 0.5188, kb_relative_information_score: 38.6118, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7691, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.638, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8962, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.817, kappa: 0.6154, kb_relative_information_score: 48.7272, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8203, predictive_accuracy: 0.82, prior_entropy: 0.9721, recall: 0.82, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7297, scimark_benchmark: 974.2014, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.7061, kappa: 0.383, kb_relative_information_score: 27.3892, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7059, predictive_accuracy: 0.71, prior_entropy: 0.9721, recall: 0.71, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9668, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.756, kappa: 0.4872, kb_relative_information_score: 40.2567, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7578, predictive_accuracy: 0.76, prior_entropy: 0.9721, recall: 0.76, relative_absolute_error: 0.6115, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8507, scimark_benchmark: 901.6243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.798, kappa: 0.5763, kb_relative_information_score: 49.8001, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7986, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.5126, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8599, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, f_measure: 0.7634, kappa: 0.5022, kb_relative_information_score: 51.2252, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7705, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9789, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, f_measure: 0.7634, kappa: 0.5022, kb_relative_information_score: 51.2252, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7705, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9789, scimark_benchmark: 919.3788, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7429, kappa: 0.4589, kb_relative_information_score: 40.0077, mean_absolute_error: 0.2966, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7489, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.6174, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8349, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.6927, kappa: 0.3534, kb_relative_information_score: 19.1588, mean_absolute_error: 0.3953, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6949, predictive_accuracy: 0.7, prior_entropy: 0.9721, recall: 0.7, relative_absolute_error: 0.8228, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9241, scimark_benchmark: 1051.249, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.817, kappa: 0.6154, kb_relative_information_score: 48.7272, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8203, predictive_accuracy: 0.82, prior_entropy: 0.9721, recall: 0.82, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7297, scimark_benchmark: 936.3213, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8691, kappa: 0.7257, kb_relative_information_score: 51.0867, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8698, predictive_accuracy: 0.87, prior_entropy: 0.9721, recall: 0.87, relative_absolute_error: 0.5336, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.66, scimark_benchmark: 851.2074, usercpu_time_millis: 450, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8691, kappa: 0.7257, kb_relative_information_score: 49.4085, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8698, predictive_accuracy: 0.87, prior_entropy: 0.9721, recall: 0.87, relative_absolute_error: 0.5541, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.6722, scimark_benchmark: 935.5664, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.8594, kappa: 0.7059, kb_relative_information_score: 50.1767, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8594, predictive_accuracy: 0.86, prior_entropy: 0.9721, recall: 0.86, relative_absolute_error: 0.5427, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6686, scimark_benchmark: 938.8535, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.8489, kappa: 0.6835, kb_relative_information_score: 48.4666, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8494, predictive_accuracy: 0.85, prior_entropy: 0.9721, recall: 0.85, relative_absolute_error: 0.5595, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.6815, scimark_benchmark: 934.6244, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.878, kappa: 0.7436, kb_relative_information_score: 52.2945, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8829, predictive_accuracy: 0.88, prior_entropy: 0.9721, recall: 0.88, relative_absolute_error: 0.5222, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6464, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.7683, kappa: 0.5148, kb_relative_information_score: 39.9305, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7681, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9376, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.7683, kappa: 0.5148, kb_relative_information_score: 39.9305, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7681, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9376, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.7778, kappa: 0.5339, kb_relative_information_score: 40.9234, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7781, predictive_accuracy: 0.78, prior_entropy: 0.9721, recall: 0.78, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9306, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7758, f_measure: 0.7778, kappa: 0.5339, kb_relative_information_score: 43.2729, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7781, predictive_accuracy: 0.78, prior_entropy: 0.9721, recall: 0.78, relative_absolute_error: 0.5782, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8962, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.7967, kappa: 0.5727, kb_relative_information_score: 43.5969, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7995, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.5814, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.425, root_relative_squared_error: 0.8676, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: -0.0157, mean_absolute_error: 0.4804, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4899, root_relative_squared_error: 1, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.8393, kappa: 0.6639, kb_relative_information_score: 63.165, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8392, predictive_accuracy: 0.84, prior_entropy: 0.9721, recall: 0.84, relative_absolute_error: 0.3677, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8112, scimark_benchmark: 936.1714, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.7951, kappa: 0.569, kb_relative_information_score: 59.5864, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8015, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8323, scimark_benchmark: 935.6052, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.7857, kappa: 0.5494, kb_relative_information_score: 54.6104, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7898, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.447, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9043, scimark_benchmark: 940.0055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7778, kappa: 0.5339, kb_relative_information_score: 50.7888, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7781, predictive_accuracy: 0.78, prior_entropy: 0.9721, recall: 0.78, relative_absolute_error: 0.4872, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4461, root_relative_squared_error: 0.9105, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7132, kappa: 0.3966, kb_relative_information_score: 41.6015, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7162, predictive_accuracy: 0.72, prior_entropy: 0.9721, recall: 0.72, relative_absolute_error: 0.5724, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4909, root_relative_squared_error: 1.002, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 15.2597, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.291, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, f_measure: 0.7467, kappa: 0.4681, kb_relative_information_score: 39.5617, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7473, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.6146, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9687, scimark_benchmark: 942.6192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.817, kappa: 0.6154, kb_relative_information_score: 17.6649, mean_absolute_error: 0.4144, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8203, predictive_accuracy: 0.82, prior_entropy: 0.9721, recall: 0.82, relative_absolute_error: 0.8627, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.426, root_relative_squared_error: 0.8696, scimark_benchmark: 923.7471, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7721, f_measure: 0.7223, kappa: 0.4156, kb_relative_information_score: 26.263, mean_absolute_error: 0.3683, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7273, predictive_accuracy: 0.73, prior_entropy: 0.9721, recall: 0.73, relative_absolute_error: 0.7666, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.88, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.7061, kappa: 0.383, kb_relative_information_score: 27.3892, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7059, predictive_accuracy: 0.71, prior_entropy: 0.9721, recall: 0.71, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9668, scimark_benchmark: 899.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.756, kappa: 0.4872, kb_relative_information_score: 40.2567, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7578, predictive_accuracy: 0.76, prior_entropy: 0.9721, recall: 0.76, relative_absolute_error: 0.6115, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8507, scimark_benchmark: 926.4745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.798, kappa: 0.5763, kb_relative_information_score: 49.8001, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7986, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.5126, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8599, scimark_benchmark: 906.0884, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.7495, kappa: 0.477, kb_relative_information_score: 44.541, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7491, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8874, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7429, kappa: 0.4589, kb_relative_information_score: 40.0077, mean_absolute_error: 0.2966, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7489, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.6174, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8349, scimark_benchmark: 935.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.6927, kappa: 0.3534, kb_relative_information_score: 19.1588, mean_absolute_error: 0.3953, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6949, predictive_accuracy: 0.7, prior_entropy: 0.9721, recall: 0.7, relative_absolute_error: 0.8228, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9241, scimark_benchmark: 942.3809, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 879.4299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7483, f_measure: 0.7695, kappa: 0.5188, kb_relative_information_score: 38.6118, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7691, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.638, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8962, scimark_benchmark: 952.4682, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.817, kappa: 0.6154, kb_relative_information_score: 48.7272, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8203, predictive_accuracy: 0.82, prior_entropy: 0.9721, recall: 0.82, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7297, scimark_benchmark: 946.9304, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.7061, kappa: 0.383, kb_relative_information_score: 27.3892, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7059, predictive_accuracy: 0.71, prior_entropy: 0.9721, recall: 0.71, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9668, scimark_benchmark: 901.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, f_measure: 0.7634, kappa: 0.5022, kb_relative_information_score: 51.2252, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7705, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9789, scimark_benchmark: 922.1419, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, f_measure: 0.7634, kappa: 0.5022, kb_relative_information_score: 51.2252, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7705, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9789, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7429, kappa: 0.4589, kb_relative_information_score: 40.0077, mean_absolute_error: 0.2966, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7489, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.6174, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8349, scimark_benchmark: 1318.6467, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.756, kappa: 0.4872, kb_relative_information_score: 40.2567, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7578, predictive_accuracy: 0.76, prior_entropy: 0.9721, recall: 0.76, relative_absolute_error: 0.6115, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8507, scimark_benchmark: 1342.8632, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.7495, kappa: 0.477, kb_relative_information_score: 44.541, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7491, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8874, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 1293.6566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7483, f_measure: 0.7695, kappa: 0.5188, kb_relative_information_score: 38.6118, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7691, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.638, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8962, scimark_benchmark: 1340.9446, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.7061, kappa: 0.383, kb_relative_information_score: 27.3892, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7059, predictive_accuracy: 0.71, prior_entropy: 0.9721, recall: 0.71, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9668, scimark_benchmark: 1324.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.7495, kappa: 0.477, kb_relative_information_score: 44.541, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7491, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8874, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7429, kappa: 0.4589, kb_relative_information_score: 40.0077, mean_absolute_error: 0.2966, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7489, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.6174, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8349, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.7495, kappa: 0.477, kb_relative_information_score: 44.541, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7491, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8874, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.7495, kappa: 0.477, kb_relative_information_score: 44.541, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7491, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8874, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 1340.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 1286.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 1347.6543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.7061, kappa: 0.383, kb_relative_information_score: 27.3892, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7059, predictive_accuracy: 0.71, prior_entropy: 0.9721, recall: 0.71, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9668, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.7495, kappa: 0.477, kb_relative_information_score: 44.541, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7491, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8874, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 1325.8468,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs