OpenML
Supervised Classification on ecoli

Supervised Classification on ecoli

Task 38 Supervised Classification ecoli 685 runs submitted
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  • basic study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, build_cpu_time: 0.1412, build_memory: 1645560287.5, f_measure: 0.8526, kappa: 0.8055, kb_relative_information_score: 244.0642, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8464, predictive_accuracy: 0.8601, prior_entropy: 2.2353, recall: 0.8601, relative_absolute_error: 0.3182, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.5539, scimark_benchmark: 928.0395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, build_cpu_time: 0.1289, build_memory: 286422203.8333, f_measure: 0.8526, kappa: 0.8055, kb_relative_information_score: 244.0642, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8464, predictive_accuracy: 0.8601, prior_entropy: 2.2353, recall: 0.8601, relative_absolute_error: 0.3182, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.5539, scimark_benchmark: 917.0415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, build_cpu_time: 10.5804, build_memory: 2826063948.9524, f_measure: 0.8682, kappa: 0.8263, kb_relative_information_score: 242.842, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8629, predictive_accuracy: 0.875, prior_entropy: 2.2353, recall: 0.875, relative_absolute_error: 0.3293, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.5474, scimark_benchmark: 894.8143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, build_cpu_time: 4.5006, build_memory: 818974384.8333, f_measure: 0.8738, kappa: 0.8345, kb_relative_information_score: 242.4959, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8684, predictive_accuracy: 0.881, prior_entropy: 2.2353, recall: 0.881, relative_absolute_error: 0.3298, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.5486, scimark_benchmark: 912.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, build_cpu_time: 2.1963, build_memory: 584584878.3333, f_measure: 0.8655, kappa: 0.8225, kb_relative_information_score: 242.6872, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8601, predictive_accuracy: 0.872, prior_entropy: 2.2353, recall: 0.872, relative_absolute_error: 0.3285, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.5488, scimark_benchmark: 911.6231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, build_cpu_time: 1.205, build_memory: 415990921.8095, f_measure: 0.8634, kappa: 0.8186, kb_relative_information_score: 242.8317, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8584, predictive_accuracy: 0.869, prior_entropy: 2.2353, recall: 0.869, relative_absolute_error: 0.328, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.5478, scimark_benchmark: 930.1721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, build_cpu_time: 0.6101, build_memory: 1759471785.5476, f_measure: 0.8633, kappa: 0.8185, kb_relative_information_score: 242.8306, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8582, predictive_accuracy: 0.869, prior_entropy: 2.2353, recall: 0.869, relative_absolute_error: 0.3268, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.5489, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, build_cpu_time: 0.5875, build_memory: 482274637.9048, f_measure: 0.8633, kappa: 0.8185, kb_relative_information_score: 242.8306, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8582, predictive_accuracy: 0.869, prior_entropy: 2.2353, recall: 0.869, relative_absolute_error: 0.3268, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.5489, scimark_benchmark: 926.9727,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, build_cpu_time: 0.1976, build_memory: 881596147.1905, f_measure: 0.8814, kappa: 0.8435, kb_relative_information_score: 248.8356, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.877, predictive_accuracy: 0.8869, prior_entropy: 2.2353, recall: 0.8869, relative_absolute_error: 0.3095, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.5303, scimark_benchmark: 939.4327,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, build_cpu_time: 0.1095, build_memory: 945476889.6429, f_measure: 0.6317, kappa: 0.543, kb_relative_information_score: 164.98, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.6357, predictive_accuracy: 0.6815, prior_entropy: 2.2353, recall: 0.6815, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2512, root_relative_squared_error: 0.8328, scimark_benchmark: 934.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, kappa: 0.8062, kb_relative_information_score: 0.7292, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.1828, number_of_instances: 336, predictive_accuracy: 0.8601, prior_entropy: 2.1906, recall: 0.8601, relative_absolute_error: 0.3422, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.5581,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, build_cpu_time: 0.0041, build_memory: 139830934.0952, f_measure: 0.8121, kappa: 0.75, kb_relative_information_score: 232.5435, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.807, predictive_accuracy: 0.8214, prior_entropy: 2.2353, recall: 0.8214, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.6583, scimark_benchmark: 933.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, build_cpu_time: 0.0028, build_memory: 199995652.9524, f_measure: 0.8121, kappa: 0.75, kb_relative_information_score: 232.5435, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.807, predictive_accuracy: 0.8214, prior_entropy: 2.2353, recall: 0.8214, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.6583, scimark_benchmark: 946.7871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.7935, kappa: 0.722, kb_relative_information_score: 225.5745, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7892, predictive_accuracy: 0.8006, prior_entropy: 2.2353, recall: 0.8006, relative_absolute_error: 0.3139, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.6968, scimark_benchmark: 901.9368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8378, kappa: 0.7845, kb_relative_information_score: 237.4525, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8351, predictive_accuracy: 0.8452, prior_entropy: 2.2353, recall: 0.8452, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.564, scimark_benchmark: 925.4303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8009, kappa: 0.7454, kb_relative_information_score: 189.9585, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8007, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.5307, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.6471, scimark_benchmark: 944.3762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8682, kappa: 0.8236, kb_relative_information_score: 258.7677, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8683, predictive_accuracy: 0.872, prior_entropy: 2.2353, recall: 0.872, relative_absolute_error: 0.2465, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.5378, scimark_benchmark: 909.9589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.8306, kappa: 0.7724, kb_relative_information_score: 243.837, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8281, predictive_accuracy: 0.8363, prior_entropy: 2.2353, recall: 0.8363, relative_absolute_error: 0.2984, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.5779, scimark_benchmark: 888.9273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.472, f_measure: 0.2541, kb_relative_information_score: 0.1892, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 2.2353, recall: 0.4256, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.3017, root_relative_squared_error: 1.0002, scimark_benchmark: 899.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8498, kappa: 0.7979, kb_relative_information_score: 246.016, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8473, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.2702, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.5661, scimark_benchmark: 910.4549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.8269, kappa: 0.7663, kb_relative_information_score: 251.0213, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8246, predictive_accuracy: 0.8304, prior_entropy: 2.2353, recall: 0.8304, relative_absolute_error: 0.2252, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.6592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.8065, kappa: 0.7375, kb_relative_information_score: 241.2039, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8038, predictive_accuracy: 0.8095, prior_entropy: 2.2353, recall: 0.8095, relative_absolute_error: 0.2885, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.6193, scimark_benchmark: 946.7774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.8296, kappa: 0.7691, kb_relative_information_score: 249.4235, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8275, predictive_accuracy: 0.8333, prior_entropy: 2.2353, recall: 0.8333, relative_absolute_error: 0.2271, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.194, root_relative_squared_error: 0.6431, scimark_benchmark: 896.2867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.8786, kappa: 0.8394, kb_relative_information_score: 252.2337, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8743, predictive_accuracy: 0.8839, prior_entropy: 2.2353, recall: 0.8839, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.5364, scimark_benchmark: 896.8707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.511, kappa: 0.448, kb_relative_information_score: 158.7746, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.6294, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.7741, scimark_benchmark: 943.4879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8483, kappa: 0.7978, kb_relative_information_score: 256.1045, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8444, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.1974, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.6268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.8416, kappa: 0.7855, kb_relative_information_score: 244.1469, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8386, predictive_accuracy: 0.8452, prior_entropy: 2.2353, recall: 0.8452, relative_absolute_error: 0.3067, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.5639, scimark_benchmark: 942.1491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.816, kappa: 0.7536, kb_relative_information_score: 243.3753, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8169, predictive_accuracy: 0.8214, prior_entropy: 2.2353, recall: 0.8214, relative_absolute_error: 0.3056, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.5847, scimark_benchmark: 923.2239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.6489, kappa: 0.5506, kb_relative_information_score: 48.1983, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.6352, predictive_accuracy: 0.6875, prior_entropy: 2.2353, recall: 0.6875, relative_absolute_error: 0.9706, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.276, root_relative_squared_error: 0.915, scimark_benchmark: 926.2004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.5111, kappa: 0.449, kb_relative_information_score: 125.525, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.8458, scimark_benchmark: 941.6231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.8597, kappa: 0.8143, kb_relative_information_score: 247.0298, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8543, predictive_accuracy: 0.8661, prior_entropy: 2.2353, recall: 0.8661, relative_absolute_error: 0.2991, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.5506, scimark_benchmark: 941.1443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.821, kappa: 0.7625, kb_relative_information_score: 229.7354, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8165, predictive_accuracy: 0.8304, prior_entropy: 2.2353, recall: 0.8304, relative_absolute_error: 0.3054, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.655, scimark_benchmark: 914.4131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.7694, kappa: 0.6856, kb_relative_information_score: 216.0932, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7704, predictive_accuracy: 0.7708, prior_entropy: 2.2353, recall: 0.7708, relative_absolute_error: 0.3134, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.7936, scimark_benchmark: 928.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8052, kappa: 0.7271, kb_relative_information_score: 234.1518, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.812, predictive_accuracy: 0.8006, prior_entropy: 2.2353, recall: 0.8006, relative_absolute_error: 0.2727, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.7403, scimark_benchmark: 915.7659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8121, kappa: 0.75, kb_relative_information_score: 232.5435, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.807, predictive_accuracy: 0.8214, prior_entropy: 2.2353, recall: 0.8214, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.6583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8447, kappa: 0.7902, kb_relative_information_score: 256.2785, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8431, predictive_accuracy: 0.8482, prior_entropy: 2.2353, recall: 0.8482, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.6424, scimark_benchmark: 944.6179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.8516, kappa: 0.8022, kb_relative_information_score: 259.0346, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8469, predictive_accuracy: 0.8571, prior_entropy: 2.2353, recall: 0.8571, relative_absolute_error: 0.1907, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.6013, scimark_benchmark: 937.1205,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.8518, kappa: 0.805, kb_relative_information_score: 256.8686, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8488, predictive_accuracy: 0.8601, prior_entropy: 2.2353, recall: 0.8601, relative_absolute_error: 0.1912, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.6194, scimark_benchmark: 903.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.8475, kappa: 0.7952, kb_relative_information_score: 243.0121, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8451, predictive_accuracy: 0.8512, prior_entropy: 2.2353, recall: 0.8512, relative_absolute_error: 0.3031, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.5799, scimark_benchmark: 896.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8509, kappa: 0.8021, kb_relative_information_score: 258.9136, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8491, predictive_accuracy: 0.8571, prior_entropy: 2.2353, recall: 0.8571, relative_absolute_error: 0.197, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.6227, scimark_benchmark: 939.0079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.6218, kappa: 0.5307, kb_relative_information_score: 165.0926, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.618, predictive_accuracy: 0.6726, prior_entropy: 2.2353, recall: 0.6726, relative_absolute_error: 0.5113, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.8313, scimark_benchmark: 982.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8651, kappa: 0.8194, kb_relative_information_score: 258.4319, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8645, predictive_accuracy: 0.869, prior_entropy: 2.2353, recall: 0.869, relative_absolute_error: 0.2475, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.5389, scimark_benchmark: 916.4178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.8115, kappa: 0.7495, kb_relative_information_score: 247.749, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8111, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.5798, scimark_benchmark: 932.4519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.8458, kappa: 0.7946, kb_relative_information_score: 249.896, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.841, predictive_accuracy: 0.8512, prior_entropy: 2.2353, recall: 0.8512, relative_absolute_error: 0.2734, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.5614, scimark_benchmark: 927.7173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7954, kappa: 0.7216, kb_relative_information_score: 231.0104, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7939, predictive_accuracy: 0.7976, prior_entropy: 2.2353, recall: 0.7976, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.7366, scimark_benchmark: 926.2303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.6256, kappa: 0.538, kb_relative_information_score: 168.093, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.6286, predictive_accuracy: 0.6786, prior_entropy: 2.2353, recall: 0.6786, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.823, scimark_benchmark: 946.3968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7686, f_measure: 0.5111, kappa: 0.4475, kb_relative_information_score: 126.4656, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4229, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7071, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.8458, scimark_benchmark: 928.7797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.5111, kappa: 0.449, kb_relative_information_score: 125.525, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.8458, scimark_benchmark: 943.1465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.846, kappa: 0.7938, kb_relative_information_score: 253.6242, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8421, predictive_accuracy: 0.8512, prior_entropy: 2.2353, recall: 0.8512, relative_absolute_error: 0.2057, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.6401, scimark_benchmark: 926.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.5111, kappa: 0.4485, kb_relative_information_score: 159.3764, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.6291, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.7735, scimark_benchmark: 943.3906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.8317, kappa: 0.7728, kb_relative_information_score: 242.4576, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8304, predictive_accuracy: 0.8363, prior_entropy: 2.2353, recall: 0.8363, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.6193, scimark_benchmark: 928.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.511, kappa: 0.448, kb_relative_information_score: 157.4057, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.7764, scimark_benchmark: 929.7629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.8477, kappa: 0.8009, kb_relative_information_score: 206.7121, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8495, predictive_accuracy: 0.8571, prior_entropy: 2.2353, recall: 0.8571, relative_absolute_error: 0.4952, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.5909, scimark_benchmark: 937.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.8064, kappa: 0.7376, kb_relative_information_score: 241.651, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8038, predictive_accuracy: 0.8095, prior_entropy: 2.2353, recall: 0.8095, relative_absolute_error: 0.2891, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.618, scimark_benchmark: 942.2454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.8446, kappa: 0.7942, kb_relative_information_score: 237.5091, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8395, predictive_accuracy: 0.8512, prior_entropy: 2.2353, recall: 0.8512, relative_absolute_error: 0.3296, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.5647, scimark_benchmark: 912.7411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.8477, kappa: 0.8009, kb_relative_information_score: 206.7121, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8495, predictive_accuracy: 0.8571, prior_entropy: 2.2353, recall: 0.8571, relative_absolute_error: 0.4952, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.5909, scimark_benchmark: 920.6377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8009, kappa: 0.7454, kb_relative_information_score: 189.9585, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8007, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.5307, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.6471, scimark_benchmark: 939.9634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.511, kappa: 0.448, kb_relative_information_score: 160.0808, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.6322, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.232, root_relative_squared_error: 0.7692, scimark_benchmark: 869.6689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.7882, kappa: 0.738, kb_relative_information_score: 198.4261, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8037, predictive_accuracy: 0.8155, prior_entropy: 2.2353, recall: 0.8155, relative_absolute_error: 0.4509, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.6702, scimark_benchmark: 939.3824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8509, kappa: 0.8023, kb_relative_information_score: 258.8426, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.848, predictive_accuracy: 0.8571, prior_entropy: 2.2353, recall: 0.8571, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.622, scimark_benchmark: 946.9334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.6489, kappa: 0.5506, kb_relative_information_score: 48.1983, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.6352, predictive_accuracy: 0.6875, prior_entropy: 2.2353, recall: 0.6875, relative_absolute_error: 0.9706, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.276, root_relative_squared_error: 0.915, scimark_benchmark: 926.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.838, kappa: 0.7829, kb_relative_information_score: 246.6742, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8339, predictive_accuracy: 0.8423, prior_entropy: 2.2353, recall: 0.8423, relative_absolute_error: 0.2698, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.187, root_relative_squared_error: 0.6199, scimark_benchmark: 916.9373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8422, kappa: 0.7901, kb_relative_information_score: 255.3478, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8379, predictive_accuracy: 0.8482, prior_entropy: 2.2353, recall: 0.8482, relative_absolute_error: 0.2064, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.6422, scimark_benchmark: 935.0724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8441, kappa: 0.7902, kb_relative_information_score: 256.415, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8405, predictive_accuracy: 0.8482, prior_entropy: 2.2353, recall: 0.8482, relative_absolute_error: 0.2103, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.6076, scimark_benchmark: 934.7235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.5111, kappa: 0.449, kb_relative_information_score: 125.525, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.8458, scimark_benchmark: 917.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.8383, kappa: 0.783, kb_relative_information_score: 247.6609, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8347, predictive_accuracy: 0.8423, prior_entropy: 2.2353, recall: 0.8423, relative_absolute_error: 0.2656, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.6209, scimark_benchmark: 929.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.5111, kappa: 0.449, kb_relative_information_score: 125.525, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.8458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8491, kappa: 0.7979, kb_relative_information_score: 255.2336, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8448, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.2027, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.191, root_relative_squared_error: 0.6334, scimark_benchmark: 944.3641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.8508, kappa: 0.8026, kb_relative_information_score: 249.1169, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.845, predictive_accuracy: 0.8571, prior_entropy: 2.2353, recall: 0.8571, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.162, root_relative_squared_error: 0.5371, scimark_benchmark: 942.5619,

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