OpenML
Supervised Classification on blood-transfusion-service-center

Supervised Classification on blood-transfusion-service-center

Task 10101 Supervised Classification blood-transfusion-service-center 387155 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_218 study_50 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7249, f_measure: 0.7538, kappa: 0.2801, kb_relative_information_score: 100.2978, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7508, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.9344, scimark_benchmark: 1296.8082, usercpu_time_millis: 11.163, usercpu_time_millis_testing: 1.111, usercpu_time_millis_training: 10.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.732, f_measure: 0.7508, kappa: 0.2641, kb_relative_information_score: 86.5329, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7547, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.9246, scimark_benchmark: 1294.0362, usercpu_time_millis: 20.31, usercpu_time_millis_testing: 2.584, usercpu_time_millis_training: 17.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.7404, kappa: 0.2379, kb_relative_information_score: 89.5112, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7364, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.9569, scimark_benchmark: 1291.2324, usercpu_time_millis: 24.846, usercpu_time_millis_testing: 2.729, usercpu_time_millis_training: 22.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.7492, kappa: 0.2648, kb_relative_information_score: 98.3446, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7462, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.9377, scimark_benchmark: 1257.4307, usercpu_time_millis: 20.23, usercpu_time_millis_testing: 1.974, usercpu_time_millis_training: 18.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7343, f_measure: 0.7457, kappa: 0.2463, kb_relative_information_score: 80.8762, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7542, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.9242, scimark_benchmark: 1293.9874, usercpu_time_millis: 13.234, usercpu_time_millis_testing: 1.619, usercpu_time_millis_training: 11.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.7732, kappa: 0.3342, kb_relative_information_score: 98.5364, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7765, predictive_accuracy: 0.7968, prior_entropy: 0.7928, recall: 0.7968, relative_absolute_error: 0.8369, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.9188, scimark_benchmark: 1259.1446, usercpu_time_millis: 4.438, usercpu_time_millis_testing: 0.504, usercpu_time_millis_training: 3.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7285, f_measure: 0.7457, kappa: 0.2496, kb_relative_information_score: 92.7771, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.747, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.9292, scimark_benchmark: 1267.2409, usercpu_time_millis: 28.996, usercpu_time_millis_testing: 3.308, usercpu_time_millis_training: 25.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.7549, kappa: 0.2759, kb_relative_information_score: 85.889, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7607, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.9236, scimark_benchmark: 1270.5741, usercpu_time_millis: 10.576, usercpu_time_millis_testing: 1.386, usercpu_time_millis_training: 9.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.7509, kappa: 0.2612, kb_relative_information_score: 78.3969, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7632, predictive_accuracy: 0.7874, prior_entropy: 0.7928, recall: 0.7874, relative_absolute_error: 0.8647, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.926, scimark_benchmark: 1266.5521, usercpu_time_millis: 6.203, usercpu_time_millis_testing: 0.774, usercpu_time_millis_training: 5.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7349, f_measure: 0.7377, kappa: 0.2198, kb_relative_information_score: 74.3473, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7553, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.9254, scimark_benchmark: 1257.1247, usercpu_time_millis: 10.292, usercpu_time_millis_testing: 1.251, usercpu_time_millis_training: 9.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.7446, kappa: 0.2557, kb_relative_information_score: 86.142, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7388, predictive_accuracy: 0.766, prior_entropy: 0.7928, recall: 0.766, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.9564, scimark_benchmark: 1280.8912, usercpu_time_millis: 27.527, usercpu_time_millis_testing: 2.542, usercpu_time_millis_training: 24.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, f_measure: 0.7672, kappa: 0.3167, kb_relative_information_score: 92.3185, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7692, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.9192, scimark_benchmark: 1288.2828, usercpu_time_millis: 15.243, usercpu_time_millis_testing: 1.783, usercpu_time_millis_training: 13.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, f_measure: 0.7627, kappa: 0.3011, kb_relative_information_score: 87.8507, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7669, predictive_accuracy: 0.7901, prior_entropy: 0.7928, recall: 0.7901, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.9202, scimark_benchmark: 1289.3297, usercpu_time_millis: 10.396, usercpu_time_millis_testing: 1.276, usercpu_time_millis_training: 9.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.7538, kappa: 0.2801, kb_relative_information_score: 99.7773, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7508, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8298, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.9341, scimark_benchmark: 1284.374, usercpu_time_millis: 18.9, usercpu_time_millis_testing: 2.1, usercpu_time_millis_training: 16.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.7456, kappa: 0.2583, kb_relative_information_score: 99.0282, mean_absolute_error: 0.2998, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7402, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.8257, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.9452, scimark_benchmark: 1286.1257, usercpu_time_millis: 1.785, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 1.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.7324, kappa: 0.2245, kb_relative_information_score: 72.548, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7242, predictive_accuracy: 0.7513, prior_entropy: 0.7928, recall: 0.7513, relative_absolute_error: 0.8286, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.0013, scimark_benchmark: 1272.0655, usercpu_time_millis: 48.462, usercpu_time_millis_testing: 5.055, usercpu_time_millis_training: 43.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, f_measure: 0.7507, kappa: 0.2721, kb_relative_information_score: 96.4535, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7464, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.83, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.9415, scimark_benchmark: 1275.7724, usercpu_time_millis: 11.271, usercpu_time_millis_testing: 1.021, usercpu_time_millis_training: 10.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7278, f_measure: 0.7587, kappa: 0.2946, kb_relative_information_score: 100.5587, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7562, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.8305, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.9302, scimark_benchmark: 1293.9224, usercpu_time_millis: 23.228, usercpu_time_millis_testing: 2.316, usercpu_time_millis_training: 20.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, f_measure: 0.7453, kappa: 0.2527, kb_relative_information_score: 89.9625, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7421, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8314, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.95, scimark_benchmark: 1291.0255, usercpu_time_millis: 2.592, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 2.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.7412, kappa: 0.2422, kb_relative_information_score: 94.0085, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7361, predictive_accuracy: 0.766, prior_entropy: 0.7928, recall: 0.766, relative_absolute_error: 0.8262, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.948, scimark_benchmark: 1274.1936, usercpu_time_millis: 19.723, usercpu_time_millis_testing: 2.331, usercpu_time_millis_training: 17.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.736, f_measure: 0.7707, kappa: 0.3288, kb_relative_information_score: 99.8958, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7715, predictive_accuracy: 0.7928, prior_entropy: 0.7928, recall: 0.7928, relative_absolute_error: 0.8351, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.392, root_relative_squared_error: 0.9206, scimark_benchmark: 1285.0429, usercpu_time_millis: 6.231, usercpu_time_millis_testing: 0.567, usercpu_time_millis_training: 5.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7282, f_measure: 0.7492, kappa: 0.2648, kb_relative_information_score: 99.8944, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7462, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8286, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.9342, scimark_benchmark: 1292.0645, usercpu_time_millis: 11.93, usercpu_time_millis_testing: 1.308, usercpu_time_millis_training: 10.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7438, f_measure: 0.761, kappa: 0.2996, kb_relative_information_score: 98.4738, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7605, predictive_accuracy: 0.7848, prior_entropy: 0.7928, recall: 0.7848, relative_absolute_error: 0.8361, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.9179, scimark_benchmark: 1272.5171, usercpu_time_millis: 2.226, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 1.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7186, f_measure: 0.7502, kappa: 0.2675, kb_relative_information_score: 93.7361, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7478, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8296, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.945, scimark_benchmark: 1294.3891, usercpu_time_millis: 21.239, usercpu_time_millis_testing: 2.296, usercpu_time_millis_training: 18.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7306, f_measure: 0.7589, kappa: 0.2942, kb_relative_information_score: 103.0849, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7574, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8295, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.9258, scimark_benchmark: 1274.0014, usercpu_time_millis: 7.669, usercpu_time_millis_testing: 0.817, usercpu_time_millis_training: 6.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7148, f_measure: 0.7458, kappa: 0.2576, kb_relative_information_score: 89.2956, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7409, predictive_accuracy: 0.7687, prior_entropy: 0.7928, recall: 0.7687, relative_absolute_error: 0.8297, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.9539, scimark_benchmark: 1287.28, usercpu_time_millis: 7.705, usercpu_time_millis_testing: 0.667, usercpu_time_millis_training: 7.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.722, f_measure: 0.7396, kappa: 0.2325, kb_relative_information_score: 91.3333, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7379, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8425, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.9366, scimark_benchmark: 1279.4397, usercpu_time_millis: 22.884, usercpu_time_millis_testing: 2.889, usercpu_time_millis_training: 19.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7248, f_measure: 0.7481, kappa: 0.2622, kb_relative_information_score: 97.4081, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7447, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8309, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.399, root_relative_squared_error: 0.9369, scimark_benchmark: 1252.6657, usercpu_time_millis: 31.577, usercpu_time_millis_testing: 3.278, usercpu_time_millis_training: 28.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7254, f_measure: 0.7492, kappa: 0.2648, kb_relative_information_score: 99.2295, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7462, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.9365, scimark_benchmark: 1285.2399, usercpu_time_millis: 7.782, usercpu_time_millis_testing: 0.888, usercpu_time_millis_training: 6.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.7707, kappa: 0.3288, kb_relative_information_score: 101.013, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7715, predictive_accuracy: 0.7928, prior_entropy: 0.7928, recall: 0.7928, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.9213, scimark_benchmark: 1270.2218, usercpu_time_millis: 2.239, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 2.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.7417, kappa: 0.2472, kb_relative_information_score: 86.0377, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7354, predictive_accuracy: 0.7634, prior_entropy: 0.7928, recall: 0.7634, relative_absolute_error: 0.8282, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.9625, scimark_benchmark: 1292.2209, usercpu_time_millis: 17.394, usercpu_time_millis_testing: 1.769, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.7396, kappa: 0.2316, kb_relative_information_score: 89.8116, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7391, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8459, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.9334, scimark_benchmark: 1288.6954, usercpu_time_millis: 8.035, usercpu_time_millis_testing: 0.932, usercpu_time_millis_training: 7.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6691, f_measure: 0.7282, kappa: 0.2147, kb_relative_information_score: 68.887, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7196, predictive_accuracy: 0.746, prior_entropy: 0.7928, recall: 0.746, relative_absolute_error: 0.8272, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4342, root_relative_squared_error: 1.0195, scimark_benchmark: 1265.2479, usercpu_time_millis: 54.253, usercpu_time_millis_testing: 4.923, usercpu_time_millis_training: 49.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.7426, kappa: 0.2406, kb_relative_information_score: 84.5139, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.743, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8537, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.9269, scimark_benchmark: 1274.9283, usercpu_time_millis: 1.034, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 0.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.749, kappa: 0.2655, kb_relative_information_score: 99.0562, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7453, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8282, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.9386, scimark_benchmark: 1274.6147, usercpu_time_millis: 2.91, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 2.599,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1264.9613, usercpu_time_millis: 0.066, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1258.3169, usercpu_time_millis: -0.033, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: -0.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1276.3044, usercpu_time_millis: 0.063, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.051,

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