Task
Supervised Classification on shuttle-landing-control

Supervised Classification on shuttle-landing-control

Task 3026 Supervised Classification shuttle-landing-control 209 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

209 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2315, f_measure: 0.45, kb_relative_information_score: -3.6725, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 1.0168, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0245, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6536, f_measure: 0.7263, kappa: 0.429, kb_relative_information_score: 29.8493, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.7259, predictive_accuracy: 0.7267, prior_entropy: 0.9774, recall: 0.7267, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9567, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6127, f_measure: 0.5488, kappa: 0.1192, kb_relative_information_score: 22.2108, mean_absolute_error: 0.4038, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.5845, predictive_accuracy: 0.5467, prior_entropy: 0.9774, recall: 0.5467, relative_absolute_error: 0.8371, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5463, root_relative_squared_error: 1.1149, scimark_benchmark: 851.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 23.4966, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2906, scimark_benchmark: 904.6764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 23.4966, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2906, scimark_benchmark: 931.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 38.5199, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9408, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 38.5199, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9408, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 38.5199, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9408, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4199, f_measure: 0.4469, kappa: -0.0133, kb_relative_information_score: 2.4945, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.3584, predictive_accuracy: 0.5933, prior_entropy: 0.9774, recall: 0.5933, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.518, root_relative_squared_error: 1.0571, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4671, f_measure: 0.4174, kappa: -0.129, kb_relative_information_score: 7.6699, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.3429, predictive_accuracy: 0.5333, prior_entropy: 0.9774, recall: 0.5333, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5643, root_relative_squared_error: 1.1516, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 38.5199, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9408, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 23.4966, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2906, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.6909, kappa: 0.375, kb_relative_information_score: 31.3523, mean_absolute_error: 0.3939, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.8154, predictive_accuracy: 0.7333, prior_entropy: 0.9774, recall: 0.7333, relative_absolute_error: 0.8166, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9258, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.523, f_measure: 0.4275, kappa: -0.0912, kb_relative_information_score: 7.7774, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.3483, predictive_accuracy: 0.5533, prior_entropy: 0.9774, recall: 0.5533, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5257, root_relative_squared_error: 1.0728, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2315, f_measure: 0.45, kb_relative_information_score: -3.6725, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 1.0168, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0245, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6536, f_measure: 0.7263, kappa: 0.429, kb_relative_information_score: 29.8493, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.7259, predictive_accuracy: 0.7267, prior_entropy: 0.9774, recall: 0.7267, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9567, scimark_benchmark: 935.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6127, f_measure: 0.5488, kappa: 0.1192, kb_relative_information_score: 22.2108, mean_absolute_error: 0.4038, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.5845, predictive_accuracy: 0.5467, prior_entropy: 0.9774, recall: 0.5467, relative_absolute_error: 0.8371, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5463, root_relative_squared_error: 1.1149, scimark_benchmark: 906.5979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 23.4966, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2906, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 23.4966, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2906, scimark_benchmark: 919.3788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.4174, kappa: -0.129, kb_relative_information_score: 27.9133, mean_absolute_error: 0.3888, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.3429, predictive_accuracy: 0.5333, prior_entropy: 0.9774, recall: 0.5333, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9898, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 38.5199, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9408, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 38.5199, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9408, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4199, f_measure: 0.4469, kappa: -0.0133, kb_relative_information_score: 2.4945, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.3584, predictive_accuracy: 0.5933, prior_entropy: 0.9774, recall: 0.5933, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.518, root_relative_squared_error: 1.0571, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4671, f_measure: 0.4174, kappa: -0.129, kb_relative_information_score: 7.6699, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.3429, predictive_accuracy: 0.5333, prior_entropy: 0.9774, recall: 0.5333, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5643, root_relative_squared_error: 1.1516, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 38.5199, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9408, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.6909, kappa: 0.375, kb_relative_information_score: 31.3523, mean_absolute_error: 0.3939, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.8154, predictive_accuracy: 0.7333, prior_entropy: 0.9774, recall: 0.7333, relative_absolute_error: 0.8166, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9258, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.523, f_measure: 0.4275, kappa: -0.0912, kb_relative_information_score: 7.7774, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.3483, predictive_accuracy: 0.5533, prior_entropy: 0.9774, recall: 0.5533, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5257, root_relative_squared_error: 1.0728, scimark_benchmark: 1051.249, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5776, f_measure: 0.4205, kappa: -0.1635, kb_relative_information_score: 1.2957, mean_absolute_error: 0.4779, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.3808, predictive_accuracy: 0.5067, prior_entropy: 0.9774, recall: 0.5067, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5045, root_relative_squared_error: 1.0296, scimark_benchmark: 943.6618, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5513, f_measure: 0.4549, kappa: -0.1059, kb_relative_information_score: 0.2207, mean_absolute_error: 0.4805, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.4394, predictive_accuracy: 0.5267, prior_entropy: 0.9774, recall: 0.5267, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5083, root_relative_squared_error: 1.0372, scimark_benchmark: 943.2803, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5609, f_measure: 0.5024, kappa: -0.0185, kb_relative_information_score: 1.7862, mean_absolute_error: 0.4766, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.5071, predictive_accuracy: 0.56, prior_entropy: 0.9774, recall: 0.56, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0284, scimark_benchmark: 945.2015, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.546, f_measure: 0.5132, kappa: -0.0061, kb_relative_information_score: 2.167, mean_absolute_error: 0.474, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.5162, predictive_accuracy: 0.56, prior_entropy: 0.9774, recall: 0.56, relative_absolute_error: 0.9827, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0263, scimark_benchmark: 939.7883, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5561, f_measure: 0.4767, kappa: -0.0681, kb_relative_information_score: 0.7057, mean_absolute_error: 0.4781, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.4713, predictive_accuracy: 0.54, prior_entropy: 0.9774, recall: 0.54, relative_absolute_error: 0.9912, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.0377, scimark_benchmark: 889.4922, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.4982, kappa: -0.0053, kb_relative_information_score: -10.1162, mean_absolute_error: 0.5072, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.5173, predictive_accuracy: 0.4933, prior_entropy: 0.9774, recall: 0.4933, relative_absolute_error: 1.0516, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.7113, root_relative_squared_error: 1.4516, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4677, f_measure: 0.4982, kappa: -0.0053, kb_relative_information_score: -10.1162, mean_absolute_error: 0.5072, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.5173, predictive_accuracy: 0.4933, prior_entropy: 0.9774, recall: 0.4933, relative_absolute_error: 1.0516, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.7113, root_relative_squared_error: 1.4516, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5445, f_measure: 0.4982, kappa: -0.0053, kb_relative_information_score: -7.6492, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.5173, predictive_accuracy: 0.4933, prior_entropy: 0.9774, recall: 0.4933, relative_absolute_error: 1.0308, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6985, root_relative_squared_error: 1.4255, scimark_benchmark: 936.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5984, f_measure: 0.5771, kappa: 0.1579, kb_relative_information_score: 14.0417, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6014, predictive_accuracy: 0.5733, prior_entropy: 0.9774, recall: 0.5733, relative_absolute_error: 0.8878, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6238, root_relative_squared_error: 1.273, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6175, f_measure: 0.6718, kappa: 0.3137, kb_relative_information_score: 35.582, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6709, predictive_accuracy: 0.6733, prior_entropy: 0.9774, recall: 0.6733, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5557, root_relative_squared_error: 1.1341, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2315, f_measure: 0.45, kb_relative_information_score: -4.4742, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 1.0193, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0212, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, f_measure: 0.6106, kappa: 0.2175, kb_relative_information_score: 25.8695, mean_absolute_error: 0.3922, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.63, predictive_accuracy: 0.6067, prior_entropy: 0.9774, recall: 0.6067, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6255, root_relative_squared_error: 1.2764, scimark_benchmark: 936.7286, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6701, f_measure: 0.6171, kappa: 0.2328, kb_relative_information_score: 29.9204, mean_absolute_error: 0.3783, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6385, predictive_accuracy: 0.6133, prior_entropy: 0.9774, recall: 0.6133, relative_absolute_error: 0.7842, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6085, root_relative_squared_error: 1.2417, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6366, f_measure: 0.6697, kappa: 0.3243, kb_relative_information_score: 40.5912, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6786, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5692, root_relative_squared_error: 1.1616, scimark_benchmark: 940.0055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5841, f_measure: 0.6605, kappa: 0.2936, kb_relative_information_score: 42.2664, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.661, predictive_accuracy: 0.66, prior_entropy: 0.9774, recall: 0.66, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5639, root_relative_squared_error: 1.1506, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5764, f_measure: 0.68, kappa: 0.3333, kb_relative_information_score: 46.2471, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.68, predictive_accuracy: 0.68, prior_entropy: 0.9774, recall: 0.68, relative_absolute_error: 0.685, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5415, root_relative_squared_error: 1.1051, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 23.4966, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2906, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2315, f_measure: 0.45, kb_relative_information_score: -3.6725, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 1.0168, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0245, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3941, f_measure: 0.4469, kappa: -0.0133, kb_relative_information_score: 2.0694, mean_absolute_error: 0.4753, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.3584, predictive_accuracy: 0.5933, prior_entropy: 0.9774, recall: 0.5933, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5254, root_relative_squared_error: 1.0721, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2315, f_measure: 0.45, kb_relative_information_score: -3.6725, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 1.0168, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0245, scimark_benchmark: 926.4745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6536, f_measure: 0.7263, kappa: 0.429, kb_relative_information_score: 29.8493, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.7259, predictive_accuracy: 0.7267, prior_entropy: 0.9774, recall: 0.7267, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9567, scimark_benchmark: 919.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6127, f_measure: 0.5488, kappa: 0.1192, kb_relative_information_score: 22.2108, mean_absolute_error: 0.4038, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.5845, predictive_accuracy: 0.5467, prior_entropy: 0.9774, recall: 0.5467, relative_absolute_error: 0.8371, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5463, root_relative_squared_error: 1.1149, scimark_benchmark: 934.7585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 23.4966, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2906, scimark_benchmark: 946.8777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 38.5199, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9408, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 38.5199, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9408, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 38.5199, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9408, scimark_benchmark: 935.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4199, f_measure: 0.4469, kappa: -0.0133, kb_relative_information_score: 2.4945, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.3584, predictive_accuracy: 0.5933, prior_entropy: 0.9774, recall: 0.5933, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.518, root_relative_squared_error: 1.0571, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4671, f_measure: 0.4174, kappa: -0.129, kb_relative_information_score: 7.6699, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.3429, predictive_accuracy: 0.5333, prior_entropy: 0.9774, recall: 0.5333, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5643, root_relative_squared_error: 1.1516, scimark_benchmark: 890.5596, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 38.5199, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9408, scimark_benchmark: 949.7766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.6909, kappa: 0.375, kb_relative_information_score: 31.3523, mean_absolute_error: 0.3939, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.8154, predictive_accuracy: 0.7333, prior_entropy: 0.9774, recall: 0.7333, relative_absolute_error: 0.8166, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9258, scimark_benchmark: 952.4682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.523, f_measure: 0.4275, kappa: -0.0912, kb_relative_information_score: 7.7774, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.3483, predictive_accuracy: 0.5533, prior_entropy: 0.9774, recall: 0.5533, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5257, root_relative_squared_error: 1.0728, scimark_benchmark: 879.4299, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2315, f_measure: 0.45, kb_relative_information_score: -3.6725, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 1.0168, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0245, scimark_benchmark: 915.9028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 23.4966, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2906, scimark_benchmark: 1331.4944, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 38.5199, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9408, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 38.5199, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9408, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.4174, kappa: -0.129, kb_relative_information_score: 27.9133, mean_absolute_error: 0.3888, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.3429, predictive_accuracy: 0.5333, prior_entropy: 0.9774, recall: 0.5333, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9898, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2315, f_measure: 0.45, kb_relative_information_score: -3.6725, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 1.0168, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0245, scimark_benchmark: 1324.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.4174, kappa: -0.129, kb_relative_information_score: 27.9133, mean_absolute_error: 0.3888, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.3429, predictive_accuracy: 0.5333, prior_entropy: 0.9774, recall: 0.5333, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9898, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 38.5199, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9408, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 38.5199, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9408, scimark_benchmark: 1307.8606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 38.5199, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9408, scimark_benchmark: 1286.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.4174, kappa: -0.129, kb_relative_information_score: 27.9133, mean_absolute_error: 0.3888, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.3429, predictive_accuracy: 0.5333, prior_entropy: 0.9774, recall: 0.5333, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9898, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 38.5199, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9408, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 38.5199, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9408, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 38.5199, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9408, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2315, f_measure: 0.45, kb_relative_information_score: -3.6725, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 1.0168, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0245, scimark_benchmark: 1331.4379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.6909, kappa: 0.375, kb_relative_information_score: 31.3523, mean_absolute_error: 0.3939, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.8154, predictive_accuracy: 0.7333, prior_entropy: 0.9774, recall: 0.7333, relative_absolute_error: 0.8166, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9258, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2315, f_measure: 0.45, kb_relative_information_score: -3.6725, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 1.0168, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0245, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6536, f_measure: 0.7263, kappa: 0.429, kb_relative_information_score: 29.8493, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.7259, predictive_accuracy: 0.7267, prior_entropy: 0.9774, recall: 0.7267, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9567, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.4174, kappa: -0.129, kb_relative_information_score: 27.9133, mean_absolute_error: 0.3888, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.3429, predictive_accuracy: 0.5333, prior_entropy: 0.9774, recall: 0.5333, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9898, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 38.5199, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9408, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 38.5199, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9408, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 38.5199, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9408, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4671, f_measure: 0.4174, kappa: -0.129, kb_relative_information_score: 7.6699, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.3429, predictive_accuracy: 0.5333, prior_entropy: 0.9774, recall: 0.5333, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5643, root_relative_squared_error: 1.1516, scimark_benchmark: 1333.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 38.5199, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9408, scimark_benchmark: 1331.4379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.4174, kappa: -0.129, kb_relative_information_score: 27.9133, mean_absolute_error: 0.3888, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.3429, predictive_accuracy: 0.5333, prior_entropy: 0.9774, recall: 0.5333, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9898, scimark_benchmark: 1327.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 38.5199, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9408, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 38.5199, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9408, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 38.5199, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9408, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 38.5199, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9408, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 38.5199, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9408, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.523, f_measure: 0.4275, kappa: -0.0912, kb_relative_information_score: 7.7774, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.3483, predictive_accuracy: 0.5533, prior_entropy: 0.9774, recall: 0.5533, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5257, root_relative_squared_error: 1.0728, scimark_benchmark: 1367.3264, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6231, f_measure: 0.6697, kappa: 0.3243, kb_relative_information_score: 56.5196, mean_absolute_error: 0.2957, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6786, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.613, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0157, scimark_benchmark: 1321.4771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 23.4966, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2906, scimark_benchmark: 1350.4825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2315, f_measure: 0.45, kb_relative_information_score: -3.6725, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 1.0168, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0245, scimark_benchmark: 1346.0226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6127, f_measure: 0.5488, kappa: 0.1192, kb_relative_information_score: 22.2108, mean_absolute_error: 0.4038, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.5845, predictive_accuracy: 0.5467, prior_entropy: 0.9774, recall: 0.5467, relative_absolute_error: 0.8371, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.5463, root_relative_squared_error: 1.1149, scimark_benchmark: 1317.7919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 23.4966, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2906, scimark_benchmark: 1342.4614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 23.4966, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9774, recall: 0.6, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2906, scimark_benchmark: 1348.2804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.4174, kappa: -0.129, kb_relative_information_score: 27.9133, mean_absolute_error: 0.3888, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.3429, predictive_accuracy: 0.5333, prior_entropy: 0.9774, recall: 0.5333, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9898, scimark_benchmark: 1345.7919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 38.5199, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9408, scimark_benchmark: 1280.9535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 38.5199, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9408, scimark_benchmark: 1336.4701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 38.5199, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9408, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6349, kappa: 0.2424, kb_relative_information_score: 38.5199, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9774, recall: 0.6667, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9408, scimark_benchmark: 1320.8688,

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