Task
Supervised Classification on squash-stored

Supervised Classification on squash-stored

Task 3060 Supervised Classification squash-stored 309 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.5824, kappa: 0.3602, kb_relative_information_score: 6.8904, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.6, predictive_accuracy: 0.5882, prior_entropy: 1.4782, recall: 0.5882, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5057, root_relative_squared_error: 1.1066, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.6291, kappa: 0.4104, kb_relative_information_score: 6.8007, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.6294, predictive_accuracy: 0.6471, prior_entropy: 1.4782, recall: 0.6471, relative_absolute_error: 0.6353, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.041, scimark_benchmark: 851.2074, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5101, f_measure: 0.3747, kappa: 0.0255, kb_relative_information_score: 2.9843, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.3961, predictive_accuracy: 0.4706, prior_entropy: 1.4782, recall: 0.4706, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5941, root_relative_squared_error: 1.3001, scimark_benchmark: 931.771, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.5196, kappa: 0.2, kb_relative_information_score: 5.5683, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.5765, predictive_accuracy: 0.5294, prior_entropy: 1.4782, recall: 0.5294, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0814, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.5196, kappa: 0.2, kb_relative_information_score: 5.5683, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.5765, predictive_accuracy: 0.5294, prior_entropy: 1.4782, recall: 0.5294, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0814, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5104, f_measure: 0.2694, kappa: -0.1333, kb_relative_information_score: 0.5767, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.2845, predictive_accuracy: 0.2941, prior_entropy: 1.4782, recall: 0.2941, relative_absolute_error: 1.013, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5209, root_relative_squared_error: 1.1399, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.5196, kappa: 0.2, kb_relative_information_score: 5.5683, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.5765, predictive_accuracy: 0.5294, prior_entropy: 1.4782, recall: 0.5294, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0814, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5101, f_measure: 0.3747, kappa: 0.0255, kb_relative_information_score: 2.9843, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.3961, predictive_accuracy: 0.4706, prior_entropy: 1.4782, recall: 0.4706, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5941, root_relative_squared_error: 1.3001, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.5196, kappa: 0.2, kb_relative_information_score: 5.5683, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.5765, predictive_accuracy: 0.5294, prior_entropy: 1.4782, recall: 0.5294, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0814, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.4485, kappa: 0.1156, kb_relative_information_score: 5.3443, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.4412, predictive_accuracy: 0.4706, prior_entropy: 1.4782, recall: 0.4706, relative_absolute_error: 0.7513, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5151, root_relative_squared_error: 1.1272, scimark_benchmark: 936.3373, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.5196, kappa: 0.2, kb_relative_information_score: 4.3498, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.5765, predictive_accuracy: 0.5294, prior_entropy: 1.4782, recall: 0.5294, relative_absolute_error: 0.8201, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.9289, scimark_benchmark: 947.1781, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.5824, kappa: 0.3602, kb_relative_information_score: 6.8904, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.6, predictive_accuracy: 0.5882, prior_entropy: 1.4782, recall: 0.5882, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5057, root_relative_squared_error: 1.1066, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7636, f_measure: 0.6291, kappa: 0.4104, kb_relative_information_score: 7.9877, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.6294, predictive_accuracy: 0.6471, prior_entropy: 1.4782, recall: 0.6471, relative_absolute_error: 0.5881, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.9842, scimark_benchmark: 906.5979, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5101, f_measure: 0.3747, kappa: 0.0255, kb_relative_information_score: 2.9843, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.3961, predictive_accuracy: 0.4706, prior_entropy: 1.4782, recall: 0.4706, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5941, root_relative_squared_error: 1.3001, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5101, f_measure: 0.3747, kappa: 0.0255, kb_relative_information_score: 2.9843, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.3961, predictive_accuracy: 0.4706, prior_entropy: 1.4782, recall: 0.4706, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5941, root_relative_squared_error: 1.3001, scimark_benchmark: 919.3788, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.5832, kappa: 0.3121, kb_relative_information_score: 5.5452, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.6, predictive_accuracy: 0.5882, prior_entropy: 1.4782, recall: 0.5882, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5301, root_relative_squared_error: 1.1601, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.5196, kappa: 0.2, kb_relative_information_score: 5.5683, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.5765, predictive_accuracy: 0.5294, prior_entropy: 1.4782, recall: 0.5294, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0814, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.5196, kappa: 0.2, kb_relative_information_score: 5.5683, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.5765, predictive_accuracy: 0.5294, prior_entropy: 1.4782, recall: 0.5294, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0814, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.5196, kappa: 0.2, kb_relative_information_score: 5.5683, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.5765, predictive_accuracy: 0.5294, prior_entropy: 1.4782, recall: 0.5294, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0814, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.5196, kappa: 0.2, kb_relative_information_score: 5.5683, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.5765, predictive_accuracy: 0.5294, prior_entropy: 1.4782, recall: 0.5294, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0814, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5104, f_measure: 0.2694, kappa: -0.1333, kb_relative_information_score: 0.5767, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.2845, predictive_accuracy: 0.2941, prior_entropy: 1.4782, recall: 0.2941, relative_absolute_error: 1.013, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5209, root_relative_squared_error: 1.1399, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.5196, kappa: 0.2, kb_relative_information_score: 5.5683, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.5765, predictive_accuracy: 0.5294, prior_entropy: 1.4782, recall: 0.5294, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0814, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.4485, kappa: 0.1156, kb_relative_information_score: 5.3443, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.4412, predictive_accuracy: 0.4706, prior_entropy: 1.4782, recall: 0.4706, relative_absolute_error: 0.7513, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5151, root_relative_squared_error: 1.1272, scimark_benchmark: 935.5664, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.5196, kappa: 0.2, kb_relative_information_score: 4.3498, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.5765, predictive_accuracy: 0.5294, prior_entropy: 1.4782, recall: 0.5294, relative_absolute_error: 0.8201, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.9289, scimark_benchmark: 936.3213, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, f_measure: 0.5138, kappa: 0.1905, kb_relative_information_score: 4.9223, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.5743, predictive_accuracy: 0.5294, prior_entropy: 1.4782, recall: 0.5294, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.97, scimark_benchmark: 943.6618, usercpu_time_millis: 1080, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, f_measure: 0.5138, kappa: 0.1905, kb_relative_information_score: 5.3131, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.5743, predictive_accuracy: 0.5294, prior_entropy: 1.4782, recall: 0.5294, relative_absolute_error: 0.7566, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.438, root_relative_squared_error: 0.9586, scimark_benchmark: 901.4991, usercpu_time_millis: 590, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.5138, kappa: 0.1905, kb_relative_information_score: 4.8845, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.5743, predictive_accuracy: 0.5294, prior_entropy: 1.4782, recall: 0.5294, relative_absolute_error: 0.7894, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.978, scimark_benchmark: 939.7241, usercpu_time_millis: 200, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.5588, kappa: 0.2831, kb_relative_information_score: 6.0052, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.6275, predictive_accuracy: 0.5882, prior_entropy: 1.4782, recall: 0.5882, relative_absolute_error: 0.7112, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.9007, scimark_benchmark: 914.3583, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7278, f_measure: 0.5588, kappa: 0.2831, kb_relative_information_score: 6.6215, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.6275, predictive_accuracy: 0.5882, prior_entropy: 1.4782, recall: 0.5882, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9603, scimark_benchmark: 889.4922, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7278, f_measure: 0.5588, kappa: 0.2831, kb_relative_information_score: 6.6215, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.6275, predictive_accuracy: 0.5882, prior_entropy: 1.4782, recall: 0.5882, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9603, scimark_benchmark: 936.7184, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3012, kb_relative_information_score: 0.0711, mean_absolute_error: 0.4169, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.2215, predictive_accuracy: 0.4706, prior_entropy: 1.4782, recall: 0.4706, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0031, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.6326, kappa: 0.4457, kb_relative_information_score: 7.7423, mean_absolute_error: 0.2592, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.6719, predictive_accuracy: 0.6471, prior_entropy: 1.4782, recall: 0.6471, relative_absolute_error: 0.6226, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8804, scimark_benchmark: 936.7286, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.6241, kappa: 0.4237, kb_relative_information_score: 9.0094, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.7406, predictive_accuracy: 0.6471, prior_entropy: 1.4782, recall: 0.6471, relative_absolute_error: 0.5229, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8867, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.764, kappa: 0.6114, kb_relative_information_score: 9.4953, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.7778, predictive_accuracy: 0.7647, prior_entropy: 1.4782, recall: 0.7647, relative_absolute_error: 0.4997, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.39, root_relative_squared_error: 0.8534, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8068, f_measure: 0.5892, kappa: 0.3965, kb_relative_information_score: 8.4953, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.5425, predictive_accuracy: 0.6471, prior_entropy: 1.4782, recall: 0.6471, relative_absolute_error: 0.567, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8853, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.5832, kappa: 0.3892, kb_relative_information_score: 7.0015, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.5311, predictive_accuracy: 0.6471, prior_entropy: 1.4782, recall: 0.6471, relative_absolute_error: 0.5799, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4631, root_relative_squared_error: 1.0134, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3012, kb_relative_information_score: 2.9604, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.2215, predictive_accuracy: 0.4706, prior_entropy: 1.4782, recall: 0.4706, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5941, root_relative_squared_error: 1.3001, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6069, f_measure: 0.5196, kappa: 0.2, kb_relative_information_score: 3.7017, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.5765, predictive_accuracy: 0.5294, prior_entropy: 1.4782, recall: 0.5294, relative_absolute_error: 0.8596, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4967, root_relative_squared_error: 1.087, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.4485, kappa: 0.1156, kb_relative_information_score: 5.3443, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.4412, predictive_accuracy: 0.4706, prior_entropy: 1.4782, recall: 0.4706, relative_absolute_error: 0.7513, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5151, root_relative_squared_error: 1.1272, scimark_benchmark: 1342.2845, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6426, f_measure: 0.3183, kappa: -0.0936, kb_relative_information_score: 2.0199, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.3021, predictive_accuracy: 0.3529, prior_entropy: 1.4782, recall: 0.3529, relative_absolute_error: 0.9456, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5789, root_relative_squared_error: 1.2668, scimark_benchmark: 1318.3027, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.6291, kappa: 0.4104, kb_relative_information_score: 6.8007, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.6294, predictive_accuracy: 0.6471, prior_entropy: 1.4782, recall: 0.6471, relative_absolute_error: 0.6353, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.041, scimark_benchmark: 1346.2927, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5101, f_measure: 0.3747, kappa: 0.0255, kb_relative_information_score: 2.9843, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.3961, predictive_accuracy: 0.4706, prior_entropy: 1.4782, recall: 0.4706, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5941, root_relative_squared_error: 1.3001, scimark_benchmark: 1336.0954,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.5196, kappa: 0.2, kb_relative_information_score: 5.5683, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.5765, predictive_accuracy: 0.5294, prior_entropy: 1.4782, recall: 0.5294, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0814, scimark_benchmark: 1354.7111,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5104, f_measure: 0.2694, kappa: -0.1333, kb_relative_information_score: 0.5767, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.2845, predictive_accuracy: 0.2941, prior_entropy: 1.4782, recall: 0.2941, relative_absolute_error: 1.013, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5209, root_relative_squared_error: 1.1399, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.5196, kappa: 0.2, kb_relative_information_score: 5.5683, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.5765, predictive_accuracy: 0.5294, prior_entropy: 1.4782, recall: 0.5294, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0814, scimark_benchmark: 1365.0842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.5196, kappa: 0.2, kb_relative_information_score: 5.5683, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.5765, predictive_accuracy: 0.5294, prior_entropy: 1.4782, recall: 0.5294, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0814, scimark_benchmark: 1356.4396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.5196, kappa: 0.2, kb_relative_information_score: 5.5683, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.5765, predictive_accuracy: 0.5294, prior_entropy: 1.4782, recall: 0.5294, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0814, scimark_benchmark: 1352.3373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5101, f_measure: 0.3747, kappa: 0.0255, kb_relative_information_score: 2.9843, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.3961, predictive_accuracy: 0.4706, prior_entropy: 1.4782, recall: 0.4706, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5941, root_relative_squared_error: 1.3001, scimark_benchmark: 1306.5596, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.5832, kappa: 0.3121, kb_relative_information_score: 5.5452, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.6, predictive_accuracy: 0.5882, prior_entropy: 1.4782, recall: 0.5882, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5301, root_relative_squared_error: 1.1601, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.4485, kappa: 0.1156, kb_relative_information_score: 5.3443, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.4412, predictive_accuracy: 0.4706, prior_entropy: 1.4782, recall: 0.4706, relative_absolute_error: 0.7513, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5151, root_relative_squared_error: 1.1272, scimark_benchmark: 1354.3488, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.5832, kappa: 0.3121, kb_relative_information_score: 5.5452, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.6, predictive_accuracy: 0.5882, prior_entropy: 1.4782, recall: 0.5882, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5301, root_relative_squared_error: 1.1601, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.5196, kappa: 0.2, kb_relative_information_score: 5.5683, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.5765, predictive_accuracy: 0.5294, prior_entropy: 1.4782, recall: 0.5294, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0814, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.5196, kappa: 0.2, kb_relative_information_score: 5.5683, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.5765, predictive_accuracy: 0.5294, prior_entropy: 1.4782, recall: 0.5294, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0814, scimark_benchmark: 938.0414,

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