OpenML
Supervised Classification on lymph

Supervised Classification on lymph

Task 10 Supervised Classification lymph 904 runs submitted
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  • basic study_1 study_107 study_41 study_7 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.8335, kappa: 0.6876, kb_relative_information_score: 90.5619, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.834, predictive_accuracy: 0.8378, prior_entropy: 1.2818, recall: 0.8378, relative_absolute_error: 0.333, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.7807, scimark_benchmark: 895.5984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8374, kappa: 0.6985, kb_relative_information_score: 94.8333, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8352, predictive_accuracy: 0.8446, prior_entropy: 1.2818, recall: 0.8446, relative_absolute_error: 0.3335, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.7484, scimark_benchmark: 941.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.7947, kappa: 0.6198, kb_relative_information_score: 80.2999, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7882, predictive_accuracy: 0.8041, prior_entropy: 1.2818, recall: 0.8041, relative_absolute_error: 0.4816, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2554, root_relative_squared_error: 0.7018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.8585, kappa: 0.7387, kb_relative_information_score: 15.5151, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8542, predictive_accuracy: 0.8649, prior_entropy: 1.2818, recall: 0.8649, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.9092, scimark_benchmark: 924.5594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.8516, kappa: 0.7185, kb_relative_information_score: 104.8367, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8531, predictive_accuracy: 0.8514, prior_entropy: 1.2818, recall: 0.8514, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.7237, scimark_benchmark: 928.5025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7431, kappa: 0.53, kb_relative_information_score: 52.4287, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7335, predictive_accuracy: 0.7568, prior_entropy: 1.2818, recall: 0.7568, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.8598, scimark_benchmark: 935.0878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8012, kappa: 0.6191, kb_relative_information_score: 87.8643, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8084, predictive_accuracy: 0.8041, prior_entropy: 1.2818, recall: 0.8041, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.7319, scimark_benchmark: 937.7091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.822, kappa: 0.6597, kb_relative_information_score: 91.1489, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8279, predictive_accuracy: 0.8243, prior_entropy: 1.2818, recall: 0.8243, relative_absolute_error: 0.3721, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.286, root_relative_squared_error: 0.7859, scimark_benchmark: 929.6392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.8014, kappa: 0.6282, kb_relative_information_score: 86.2909, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7987, predictive_accuracy: 0.8041, prior_entropy: 1.2818, recall: 0.8041, relative_absolute_error: 0.3835, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.8479, scimark_benchmark: 938.0297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.8248, kappa: 0.6756, kb_relative_information_score: 94.2056, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8192, predictive_accuracy: 0.8311, prior_entropy: 1.2818, recall: 0.8311, relative_absolute_error: 0.317, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.7833, scimark_benchmark: 916.4041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, f_measure: 0.7312, kappa: 0.5029, kb_relative_information_score: 51.0852, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7306, predictive_accuracy: 0.7365, prior_entropy: 1.2818, recall: 0.7365, relative_absolute_error: 0.678, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3106, root_relative_squared_error: 0.8534, scimark_benchmark: 944.7982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7607, f_measure: 0.6836, kappa: 0.4296, kb_relative_information_score: 39.6188, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7088, predictive_accuracy: 0.6959, prior_entropy: 1.2818, recall: 0.6959, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.328, root_relative_squared_error: 0.9012, scimark_benchmark: 939.8228,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.8045, kappa: 0.6367, kb_relative_information_score: 80.019, mean_absolute_error: 0.1192, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7991, predictive_accuracy: 0.8108, prior_entropy: 1.2818, recall: 0.8108, relative_absolute_error: 0.4453, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.7891, scimark_benchmark: 942.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.7766, kappa: 0.5864, kb_relative_information_score: 64.2367, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7727, predictive_accuracy: 0.7838, prior_entropy: 1.2818, recall: 0.7838, relative_absolute_error: 0.5905, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.8012, scimark_benchmark: 836.7681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.815, kappa: 0.6544, kb_relative_information_score: 91.2385, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8126, predictive_accuracy: 0.8176, prior_entropy: 1.2818, recall: 0.8176, relative_absolute_error: 0.3411, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.8204, scimark_benchmark: 944.3214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.8148, kappa: 0.6538, kb_relative_information_score: 91.1536, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8121, predictive_accuracy: 0.8176, prior_entropy: 1.2818, recall: 0.8176, relative_absolute_error: 0.3424, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.8219, scimark_benchmark: 943.2727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.8648, kappa: 0.7432, kb_relative_information_score: 108.3042, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8657, predictive_accuracy: 0.8649, prior_entropy: 1.2818, recall: 0.8649, relative_absolute_error: 0.2512, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.7, scimark_benchmark: 943.3177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.7593, kappa: 0.559, kb_relative_information_score: 59.8994, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7444, predictive_accuracy: 0.777, prior_entropy: 1.2818, recall: 0.777, relative_absolute_error: 0.5977, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.7571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.8513, kappa: 0.7175, kb_relative_information_score: 104.5925, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8523, predictive_accuracy: 0.8514, prior_entropy: 1.2818, recall: 0.8514, relative_absolute_error: 0.281, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.7237, scimark_benchmark: 940.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.8513, kappa: 0.7175, kb_relative_information_score: 105.4039, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8523, predictive_accuracy: 0.8514, prior_entropy: 1.2818, recall: 0.8514, relative_absolute_error: 0.2738, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.7279, scimark_benchmark: 943.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.822, kappa: 0.6597, kb_relative_information_score: 91.1489, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8279, predictive_accuracy: 0.8243, prior_entropy: 1.2818, recall: 0.8243, relative_absolute_error: 0.3721, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.286, root_relative_squared_error: 0.7859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8388, kappa: 0.7011, kb_relative_information_score: 98.0879, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8342, predictive_accuracy: 0.8446, prior_entropy: 1.2818, recall: 0.8446, relative_absolute_error: 0.286, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.7458, scimark_benchmark: 943.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8396, kappa: 0.6985, kb_relative_information_score: 93.1443, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8416, predictive_accuracy: 0.8446, prior_entropy: 1.2818, recall: 0.8446, relative_absolute_error: 0.3111, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.7606, scimark_benchmark: 909.5432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.7367, kappa: 0.5178, kb_relative_information_score: 44.2173, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7285, predictive_accuracy: 0.75, prior_entropy: 1.2818, recall: 0.75, relative_absolute_error: 0.7226, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.8548, scimark_benchmark: 944.9577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7431, kappa: 0.53, kb_relative_information_score: 52.4287, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7335, predictive_accuracy: 0.7568, prior_entropy: 1.2818, recall: 0.7568, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.8598, scimark_benchmark: 940.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.8175, kappa: 0.6598, kb_relative_information_score: 97.4792, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8155, predictive_accuracy: 0.8243, prior_entropy: 1.2818, recall: 0.8243, relative_absolute_error: 0.3325, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.7426, scimark_benchmark: 947.2832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8339, kappa: 0.6959, kb_relative_information_score: 96.4292, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8366, predictive_accuracy: 0.8446, prior_entropy: 1.2818, recall: 0.8446, relative_absolute_error: 0.3617, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2411, root_relative_squared_error: 0.6624, scimark_benchmark: 922.6821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.8248, kappa: 0.67, kb_relative_information_score: 100.978, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8259, predictive_accuracy: 0.8243, prior_entropy: 1.2818, recall: 0.8243, relative_absolute_error: 0.3086, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.7375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.8313, kappa: 0.6859, kb_relative_information_score: 93.0475, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8274, predictive_accuracy: 0.8378, prior_entropy: 1.2818, recall: 0.8378, relative_absolute_error: 0.3305, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2844, root_relative_squared_error: 0.7815, scimark_benchmark: 944.6459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8516, kappa: 0.7185, kb_relative_information_score: 104.1834, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8531, predictive_accuracy: 0.8514, prior_entropy: 1.2818, recall: 0.8514, relative_absolute_error: 0.285, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2654, root_relative_squared_error: 0.7294, scimark_benchmark: 944.4598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8583, kappa: 0.7326, kb_relative_information_score: 103.6822, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8585, predictive_accuracy: 0.8581, prior_entropy: 1.2818, recall: 0.8581, relative_absolute_error: 0.2643, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.7167, scimark_benchmark: 941.3249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.8583, kappa: 0.7326, kb_relative_information_score: 103.415, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8585, predictive_accuracy: 0.8581, prior_entropy: 1.2818, recall: 0.8581, relative_absolute_error: 0.267, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.7175, scimark_benchmark: 928.3391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8235, kappa: 0.6626, kb_relative_information_score: 90.9044, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.827, predictive_accuracy: 0.8243, prior_entropy: 1.2818, recall: 0.8243, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.7147, scimark_benchmark: 932.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.7832, kappa: 0.5913, kb_relative_information_score: 70.2132, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7822, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.5419, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.7595, scimark_benchmark: 906.9955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.7763, kappa: 0.5761, kb_relative_information_score: 85.3642, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7805, predictive_accuracy: 0.777, prior_entropy: 1.2818, recall: 0.777, relative_absolute_error: 0.4415, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.267, root_relative_squared_error: 0.7336, scimark_benchmark: 945.5829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.7984, kappa: 0.625, kb_relative_information_score: 77.2335, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7928, predictive_accuracy: 0.8041, prior_entropy: 1.2818, recall: 0.8041, relative_absolute_error: 0.5197, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.7075, scimark_benchmark: 947.0762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.7523, kappa: 0.5411, kb_relative_information_score: 63.3535, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7505, predictive_accuracy: 0.7568, prior_entropy: 1.2818, recall: 0.7568, relative_absolute_error: 0.5603, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.8281, scimark_benchmark: 948.7014,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.8188, kappa: 0.6589, kb_relative_information_score: 98.4606, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8216, predictive_accuracy: 0.8176, prior_entropy: 1.2818, recall: 0.8176, relative_absolute_error: 0.3271, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.7734, scimark_benchmark: 576.8152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8477, kappa: 0.713, kb_relative_information_score: 92.7398, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8479, predictive_accuracy: 0.8514, prior_entropy: 1.2818, recall: 0.8514, relative_absolute_error: 0.3542, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8458, kappa: 0.7151, kb_relative_information_score: 99.1597, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8416, predictive_accuracy: 0.8514, prior_entropy: 1.2818, recall: 0.8514, relative_absolute_error: 0.2782, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.7491, scimark_benchmark: 574.0178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.7734, kappa: 0.5785, kb_relative_information_score: 80.1828, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.773, predictive_accuracy: 0.777, prior_entropy: 1.2818, recall: 0.777, relative_absolute_error: 0.4147, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.8854, scimark_benchmark: 928.4246,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.8299, kappa: 0.6826, kb_relative_information_score: 14.0806, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8303, predictive_accuracy: 0.8378, prior_entropy: 1.2818, recall: 0.8378, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.9236, scimark_benchmark: 920.4123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.7854, kappa: 0.6097, kb_relative_information_score: 5.6725, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7743, predictive_accuracy: 0.8041, prior_entropy: 1.2818, recall: 0.8041, relative_absolute_error: 1.0116, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.9441, scimark_benchmark: 948.9966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8067, kappa: 0.6526, kb_relative_information_score: 74.8594, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7921, predictive_accuracy: 0.8243, prior_entropy: 1.2818, recall: 0.8243, relative_absolute_error: 0.5292, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.7024, scimark_benchmark: 925.5289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3872, kb_relative_information_score: -8.3796, mean_absolute_error: 0.2922, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.2995, predictive_accuracy: 0.5473, prior_entropy: 1.2818, recall: 0.5473, relative_absolute_error: 1.0915, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3734, root_relative_squared_error: 1.0261, scimark_benchmark: 911.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.7747, kappa: 0.588, kb_relative_information_score: 68.8852, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7621, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.5564, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.273, root_relative_squared_error: 0.75, scimark_benchmark: 946.2346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5149, f_measure: 0.4168, kappa: 0.0337, kb_relative_information_score: -7.6544, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7158, predictive_accuracy: 0.5608, prior_entropy: 1.2818, recall: 0.5608, relative_absolute_error: 1.0873, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3719, root_relative_squared_error: 1.0219, scimark_benchmark: 940.4186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3872, kb_relative_information_score: -8.3796, mean_absolute_error: 0.2922, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.2995, predictive_accuracy: 0.5473, prior_entropy: 1.2818, recall: 0.5473, relative_absolute_error: 1.0915, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3734, root_relative_squared_error: 1.0261, scimark_benchmark: 943.7422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5149, f_measure: 0.4168, kappa: 0.0337, kb_relative_information_score: -7.6544, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7158, predictive_accuracy: 0.5608, prior_entropy: 1.2818, recall: 0.5608, relative_absolute_error: 1.0873, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3719, root_relative_squared_error: 1.0219, scimark_benchmark: 910.5444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.8317, kappa: 0.6864, kb_relative_information_score: 15.0322, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8275, predictive_accuracy: 0.8378, prior_entropy: 1.2818, recall: 0.8378, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.9213, scimark_benchmark: 924.8482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.7907, kappa: 0.6166, kb_relative_information_score: 69.449, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7812, predictive_accuracy: 0.8041, prior_entropy: 1.2818, recall: 0.8041, relative_absolute_error: 0.5537, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.7423, scimark_benchmark: 920.1621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.8326, kappa: 0.7044, kb_relative_information_score: 9.6546, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8203, predictive_accuracy: 0.8514, prior_entropy: 1.2818, recall: 0.8514, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.336, root_relative_squared_error: 0.9232, scimark_benchmark: 942.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.789, f_measure: 0.7367, kappa: 0.5178, kb_relative_information_score: 21.195, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7285, predictive_accuracy: 0.75, prior_entropy: 1.2818, recall: 0.75, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.9003, scimark_benchmark: 945.8227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, f_measure: 0.7231, kappa: 0.4806, kb_relative_information_score: 69.5603, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7293, predictive_accuracy: 0.723, prior_entropy: 1.2818, recall: 0.723, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3654, root_relative_squared_error: 1.0039, scimark_benchmark: 948.6327,

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

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From your own software

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

OpenML APIs