10410467 1 Jan van Rijn 9956 Supervised Classification 16360 sklearn.svm.classes.SVC(32) 8248231 C 371.3001894388366 16360 cache_size 200 16360 class_weight null 16360 coef0 0.05314139766507453 16360 decision_function_shape "ovr" 16360 degree 3 16360 gamma 0.01713812037635565 16360 kernel "sigmoid" 16360 max_iter -1 16360 probability false 16360 random_state 63641 16360 shrinking false 16360 tol 0.00015336462326840584 16360 verbose false 16360 openml-python Sklearn_0.21.2. 1493 one-hundred-plants-texture https://www.openml.org/data/download/1592285/phpoOxxNn -1 21742727 description https://api.openml.org/data/download/21742727/description.xml -1 21742728 predictions https://api.openml.org/data/download/21742728/predictions.arff area_under_roc_curve 0.7924836249417745 [0.731755,0.809657,0.686868,0.874684,0.650249,0.872473,0.527144,0.623421,0.749684,0.6875,0.873421,0.498421,0.936868,0.936868,0.622789,0.998737,0.713065,0.68371,0.905618,0.937184,0.999052,0.499368,0.842487,0.872473,0.529039,0.776512,0.747473,0.530618,0.905618,0.966539,0.593118,0.998421,0.526828,0.967487,0.718118,0.624052,0.93371,0.87121,0.779039,0.843118,0.96875,0.842171,0.560289,0.622789,0.499684,0.716223,0.681815,0.779987,0.71496,0.809973,0.901828,0.838696,0.715907,0.776512,0.865524,0.777776,0.998737,0.683394,0.745894,1,1,0.935605,0.96875,0.780618,0.779355,0.843434,0.904987,0.747473,0.84375,0.530302,0.714644,0.749052,0.968118,0.77588,0.874684,0.874368,0.840276,0.966223,0.749052,0.748421,0.624368,0.748421,0.652776,0.778723,0.904671,0.9375,0.622789,0.83996,0.872789,0.966223,0.84375,0.624368,0.874052,0.967802,0.903723,0.744315,0.682762,0.968118,0.904355,0.842802] average_cost 0 f_measure 0.5752317265662614 [0.518519,0.571429,0.5,0.827586,0.25,0.666667,0.066667,0.32,0.64,0.545455,0.727273,0,0.875,0.875,0.296296,0.888889,0.341463,0.352941,0.83871,0.903226,0.914286,0,0.709677,0.666667,0.083333,0.45,0.5,0.105263,0.83871,0.789474,0.285714,0.864865,0.064516,0.857143,0.56,0.347826,0.666667,0.6,0.5625,0.758621,0.967742,0.6875,0.16,0.296296,0,0.451613,0.3,0.62069,0.4,0.588235,0.604651,0.511628,0.4375,0.45,0.413793,0.5,0.888889,0.342857,0.432432,1,1,0.777778,0.967742,0.666667,0.580645,0.785714,0.787879,0.5,0.814815,0.1,0.388889,0.592593,0.909091,0.428571,0.827586,0.8,0.578947,0.769231,0.592593,0.551724,0.363636,0.551724,0.3125,0.545455,0.764706,0.933333,0.296296,0.564103,0.685714,0.769231,0.814815,0.363636,0.774194,0.882353,0.702703,0.380952,0.324324,0.909091,0.742857,0.733333] kappa 0.5849672234317795 kb_relative_information_score 0.5882064786477262 mean_absolute_error 0.008217636022513951 mean_prior_absolute_error 0.019799992711748222 number_of_instances 1599 [15,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16] precision 0.5960820057907027 [0.583333,0.526316,0.75,0.923077,0.208333,0.6,0.071429,0.444444,0.888889,1,0.705882,0,0.875,0.875,0.363636,0.8,0.28,0.333333,0.866667,0.933333,0.842105,0,0.733333,0.6,0.125,0.375,0.5,0.333333,0.866667,0.681818,0.6,0.761905,0.066667,0.789474,0.777778,0.571429,0.538462,0.5,0.5625,0.846154,1,0.6875,0.222222,0.363636,0,0.466667,0.25,0.692308,0.368421,0.555556,0.481481,0.407407,0.4375,0.375,0.285714,0.45,0.8,0.315789,0.380952,1,1,0.7,1,0.818182,0.6,0.916667,0.764706,0.5,1,0.25,0.35,0.727273,0.882353,0.346154,0.923077,0.857143,0.5,0.652174,0.727273,0.615385,0.666667,0.615385,0.3125,0.529412,0.722222,1,0.363636,0.478261,0.631579,0.652174,1,0.666667,0.8,0.833333,0.619048,0.307692,0.285714,0.882353,0.684211,0.785714] predictive_accuracy 0.5891181988742964 prior_entropy 6.643827772868604 recall 0.5891181988742964 [0.466667,0.625,0.375,0.75,0.3125,0.75,0.0625,0.25,0.5,0.375,0.75,0,0.875,0.875,0.25,1,0.4375,0.375,0.8125,0.875,1,0,0.6875,0.75,0.0625,0.5625,0.5,0.0625,0.8125,0.9375,0.1875,1,0.0625,0.9375,0.4375,0.25,0.875,0.75,0.5625,0.6875,0.9375,0.6875,0.125,0.25,0,0.4375,0.375,0.5625,0.4375,0.625,0.8125,0.6875,0.4375,0.5625,0.75,0.5625,1,0.375,0.5,1,1,0.875,0.9375,0.5625,0.5625,0.6875,0.8125,0.5,0.6875,0.0625,0.4375,0.5,0.9375,0.5625,0.75,0.75,0.6875,0.9375,0.5,0.5,0.25,0.5,0.3125,0.5625,0.8125,0.875,0.25,0.6875,0.75,0.9375,0.6875,0.25,0.75,0.9375,0.8125,0.5,0.375,0.9375,0.8125,0.6875] relative_absolute_error 0.4150322751198822 root_mean_prior_squared_error 0.09949872432040595 root_mean_squared_error 0.09065117772270778 root_relative_squared_error 0.9110787936415418 total_cost 0 area_under_roc_curve 0.8236207308335322 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0.5490099530976379 kb_relative_information_score 0.5490099530976379 kb_relative_information_score 0.6053735254232304 kb_relative_information_score 0.561535191392214 kb_relative_information_score 0.5741068576657099 kb_relative_information_score 0.6116041893412953 kb_relative_information_score 0.5301834415420926 kb_relative_information_score 0.6053410548952027 kb_relative_information_score 0.6469767824540775 mean_absolute_error 0.007000000000000004 mean_absolute_error 0.009000000000000005 mean_absolute_error 0.009000000000000005 mean_absolute_error 0.007875000000000004 mean_absolute_error 0.008750000000000004 mean_absolute_error 0.008500000000000004 mean_absolute_error 0.007750000000000004 mean_absolute_error 0.009375000000000005 mean_absolute_error 0.007875000000000004 mean_absolute_error 0.0070440251572327075 mean_prior_absolute_error 0.01980002942907592 mean_prior_absolute_error 0.01980002942907592 mean_prior_absolute_error 0.019800029429075917 mean_prior_absolute_error 0.019800029429075917 mean_prior_absolute_error 0.01980002942907591 mean_prior_absolute_error 0.01979995585638609 mean_prior_absolute_error 0.01979995585638609 mean_prior_absolute_error 0.01979995585638609 mean_prior_absolute_error 0.019799955856386102 mean_prior_absolute_error 0.01979995631910742 number_of_instances 160 [2,1,1,2,2,2,2,1,2,2,1,2,2,2,2,2,2,1,2,2,1,2,2,2,2,1,1,2,2,1,2,2,1,1,1,2,1,1,2,2,2,1,1,2,1,1,2,1,2,2,1,2,1,2,1,2,2,1,1,1,1,2,1,1,2,2,2,1,1,2,2,2,1,1,2,2,2,2,1,1,1,2,2,2,1,2,2,2,2,2,2,2,1,2,2,2,1,1,2,1] number_of_instances 160 [2,1,1,2,2,2,2,1,2,2,1,2,2,2,2,2,2,1,2,2,2,2,2,2,2,2,1,2,2,2,2,2,1,1,1,2,1,1,2,2,2,1,1,2,1,1,2,1,2,2,1,2,1,2,1,2,1,1,1,1,1,2,1,1,2,2,2,1,1,2,2,2,1,1,2,2,2,2,1,1,1,2,1,2,1,2,2,2,2,2,2,2,1,1,2,2,1,1,2,1] number_of_instances 160 [2,1,2,2,2,1,2,1,1,2,2,1,2,2,2,2,2,2,2,1,2,2,2,1,1,2,1,2,2,2,2,1,2,2,2,1,1,2,1,1,2,1,1,2,2,2,2,2,2,1,1,2,2,2,1,2,1,1,1,1,2,1,1,1,2,2,2,1,1,2,2,2,2,1,2,2,2,1,2,2,1,2,1,2,1,2,2,1,2,1,1,2,2,1,2,1,1,2,2,1] number_of_instances 160 [2,1,2,2,2,1,2,2,1,2,2,1,2,2,2,2,2,2,2,1,2,2,2,1,1,2,1,2,2,2,2,1,2,2,2,1,1,2,1,1,2,1,1,2,2,2,2,2,1,1,1,2,2,2,2,2,1,1,1,1,2,1,1,1,2,1,2,1,1,2,2,2,2,1,2,2,2,1,2,2,1,2,1,2,1,2,2,1,2,1,1,2,2,1,1,1,2,2,2,1] number_of_instances 160 [2,2,2,1,1,1,1,2,1,1,2,1,1,2,1,1,2,2,2,1,2,1,2,1,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,1,2,2,2,2,2,2,2,2,1,1,2,2,2,1,2,2,1,2,2,2,2,1,2,2,1,1,2,2,2,2,1,1,2,2,2,1,1,1,2,2,2,2,1,1,2,2,2,1,2,1,1,2,2,1,1,1,2,2,2,2] number_of_instances 160 [1,2,2,1,1,1,1,2,1,1,2,1,1,2,1,1,2,2,2,1,2,1,2,1,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,1,2,2,2,2,2,2,2,2,1,1,2,1,2,1,2,2,2,2,2,2,2,1,2,2,1,1,2,2,2,2,1,1,2,2,2,1,1,1,2,2,2,1,2,1,2,2,2,1,2,1,1,2,2,2,1,1,2,2,2,2] number_of_instances 160 [1,2,2,1,1,2,1,2,2,1,2,2,1,1,1,1,1,2,1,2,2,1,1,2,2,2,2,1,1,2,1,2,2,2,2,2,2,2,2,2,1,2,2,1,2,2,1,2,1,2,2,1,2,1,2,1,2,2,2,2,2,2,2,2,1,1,1,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,1,2,1,1,2,1,2,2,1,2,2,1,2,2,2,1,2] number_of_instances 160 [1,2,2,1,1,2,1,2,2,1,2,2,1,1,1,1,1,2,1,2,1,1,1,2,2,1,2,1,1,1,1,2,2,2,2,2,2,2,2,2,1,2,2,1,2,2,1,2,2,2,2,1,2,1,2,1,2,2,2,2,2,2,2,2,1,2,1,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,1,2,1,1,2,1,2,2,1,2,2,2,2,2,2,1,2] number_of_instances 160 [1,2,1,2,2,2,2,2,2,2,1,2,2,1,2,2,1,1,1,2,1,2,1,2,2,1,2,2,1,1,2,2,1,1,1,2,2,1,2,2,1,2,2,1,1,1,1,1,2,2,2,1,1,2,2,1,2,2,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,2,1,2,2,2,1,1,2,1,2,2,2,1,1,2,1,2,2,1,1,2,2,2,2,1,1,2] number_of_instances 159 [1,2,1,2,2,2,2,1,2,2,1,2,2,1,2,2,1,1,1,2,1,2,1,2,2,1,2,2,1,1,2,2,1,1,1,2,2,1,2,2,1,2,2,1,1,1,1,1,2,2,2,2,1,2,1,1,2,2,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,2,1,2,2,2,1,1,2,2,2,2,2,1,1,2,1,2,2,1,1,2,2,2,1,1,1,2] predictive_accuracy 0.65 predictive_accuracy 0.55 predictive_accuracy 0.55 predictive_accuracy 0.60625 predictive_accuracy 0.5625 predictive_accuracy 0.575 predictive_accuracy 0.6125 predictive_accuracy 0.53125 predictive_accuracy 0.60625 predictive_accuracy 0.6477987421383647 prior_entropy 6.644100581449517 prior_entropy 6.644100581449517 prior_entropy 6.644100581449517 prior_entropy 6.644100581449517 prior_entropy 6.644100581449517 prior_entropy 6.643553938691703 prior_entropy 6.643553938691703 prior_entropy 6.643553938691703 prior_entropy 6.643553938691703 prior_entropy 6.64355737669647 recall 0.65 [1,1,0,1,0,0.5,0,0,1,0,1,0,1,1,0,1,1,1,1,1,1,0,1,0.5,0,1,1,0,1,0,0,1,0,1,1,0.5,1,1,0.5,0.5,1,1,0,0,0,1,0.5,1,0.5,0.5,1,1,1,0,1,0.5,1,1,1,1,1,1,1,1,0.5,1,0,1,1,0,0,0.5,1,1,1,1,1,1,1,1,1,1,0.5,0.5,1,1,0,0.5,0,1,0.5,0.5,1,1,0.5,0.5,1,1,1,1] recall 0.55 [0.5,0,0,1,0,0,0,0,0.5,0.5,1,0,1,1,0,1,0.5,1,1,0.5,1,0,1,0.5,0,0,0,0,0.5,1,0,1,1,1,0,0.5,1,1,0.5,0.5,1,1,0,0,0,1,0,1,0,1,1,1,1,0.5,1,1,1,0,1,1,1,0.5,1,0,1,0.5,0.5,0,1,0,0,1,1,1,1,0.5,0.5,1,0,1,1,1,0,0,1,1,0,1,0.5,1,0.5,0,1,1,0.5,0.5,0,1,0,0] recall 0.55 [0.5,1,0.5,1,0,1,0,1,0,0,1,0,1,0.5,0,1,1,0,1,1,1,0,0.5,1,0,0.5,1,0,1,1,0,1,0,0.5,0.5,0,1,1,1,0,0.5,1,1,0,0,0,0,0.5,0.5,0,1,0,0.5,1,1,0,1,0,1,1,1,1,1,1,0.5,0.5,1,0,1,0,0,0.5,1,1,1,0.5,1,1,0,0,0,0,0,0.5,1,0.5,0,0,1,1,1,0,1,1,1,1,1,1,1,1] recall 0.60625 [0.5,1,1,1,1,0,0,0,1,0.5,1,0,0.5,0.5,0.5,1,0.5,0.5,1,1,1,0,1,0,0,0.5,1,0,0.5,1,0.5,1,0,1,0.5,0,1,0,0,1,1,1,0,1,0,0,1,1,1,1,1,1,0.5,0.5,0.5,0.5,1,1,1,1,1,0,1,0,0.5,0,1,1,1,0.5,0,0,1,1,0,0.5,0.5,1,0,1,1,0,0,0.5,1,0.5,0.5,1,0.5,1,1,0.5,0.5,1,1,1,0.5,1,1,1] recall 0.5625 [0.5,0.5,0.5,1,1,1,0,0,0,0,0.5,0,0,1,0,1,0,0.5,0.5,1,1,0,0.5,1,0,0.5,0.5,1,0.5,1,0,1,0,1,0,1,1,1,0,0,1,1,0,0,0,0,0,0.5,1,1,0.5,0.5,0.5,0,1,0.5,1,0.5,0,1,1,1,1,1,0,1,1,0.5,1,0,1,1,1,0.5,0.5,1,1,1,1,0.5,0,0,0,1,1,1,0,0,1,1,0,0.5,0.5,0,1,1,0,1,0.5,1] recall 0.575 [1,1,0.5,0,1,1,0,0,1,1,1,0,1,1,1,1,0,0,0.5,1,1,0,0.5,1,0,0.5,0,0,1,1,0,1,0,1,0,1,1,1,1,1,1,0.5,0,0.5,0,0,0.5,0,1,1,1,0,0,1,0.5,1,1,0.5,0,1,1,1,0.5,0.5,1,1,1,0.5,0.5,0,1,0,1,0,0.5,1,1,1,0.5,0.5,0,0,0,1,0,1,0,1,1,1,0,0,0.5,1,1,1,0,1,1,1] recall 0.6125 [0,1,0,1,1,1,1,0.5,1,1,0.5,0,1,1,1,1,0,0,1,1,1,0,0,0.5,0,0.5,0,0,1,1,0,1,0,1,0.5,0,0.5,1,0.5,1,1,1,0,1,0,0.5,1,0.5,1,1,1,1,0,0,1,0,1,0.5,0,1,1,1,1,0.5,0,1,1,0.5,0,0,1,1,1,0,1,1,1,0.5,1,0,0.5,0,0,1,1,1,1,1,1,1,0.5,0,1,1,1,0,0,1,1,0.5] recall 0.53125 [0,0.5,0,1,0,1,0,1,0,0,0.5,0,1,1,1,1,0,0,0,0.5,1,0,1,1,0,1,0.5,0,1,1,0,1,0,1,1,0,1,0,0,1,1,0,0,0,0,1,0,1,0.5,0,0.5,1,0,1,1,0,1,0.5,0,1,1,1,1,1,0,1,1,0.5,0.5,0,1,0,0.5,0,1,0,1,1,0,0,0,1,0.5,1,0.5,1,0,0,1,0.5,1,1,0.5,1,1,0,0.5,1,1,0.5] recall 0.60625 [0,0.5,1,0,0,1,0,0,0,1,1,0,1,1,0,1,0,1,1,1,1,0,1,1,0,1,1,0,1,1,0.5,1,0,1,1,0,0.5,1,1,1,1,0.5,0,0,0,1,1,0,0,0.5,1,1,1,0.5,0,1,1,0,1,1,1,1,1,0,0.5,1,1,0.5,0.5,0,0.5,0,1,1,1,1,0.5,1,1,1,0,1,0.5,0,1,1,1,1,1,1,1,0,1,1,0.5,0.5,0.5,0,1,0.5] recall 0.6477987421383647 [0,0,0,0.5,0,1,0,0,0.5,0,0,0,1,1,0,1,1,1,1,1,1,0,0,1,0.5,1,0.5,0,1,1,0.5,1,0,1,0,0,1,1,1,0.5,1,0.5,0.5,0,0,1,0,0,0,0.5,0.5,0.5,1,1,1,1,1,0,1,1,1,1,1,0.5,1,0,1,0.5,1,0,1,1,1,1,1,1,0,1,1,1,0,1,1,1,1,1,1,1,1,1,1,0,1,1,1,0.5,1,1,1,0.5] relative_absolute_error 0.35353482807054076 relative_absolute_error 0.4545447789478381 relative_absolute_error 0.45454477894783823 relative_absolute_error 0.3977266815793584 relative_absolute_error 0.44191853508817625 relative_absolute_error 0.42929388639311 relative_absolute_error 0.39141501406430623 relative_absolute_error 0.47348590411004776 relative_absolute_error 0.3977281594524399 relative_absolute_error 0.3557596311682293 root_mean_prior_squared_error 0.09949890883178135 root_mean_prior_squared_error 0.09949890883178135 root_mean_prior_squared_error 0.09949890883178135 root_mean_prior_squared_error 0.09949890883178135 root_mean_prior_squared_error 0.09949890883178135 root_mean_prior_squared_error 0.09949853911503082 root_mean_prior_squared_error 0.09949853911503082 root_mean_prior_squared_error 0.09949853911503082 root_mean_prior_squared_error 0.09949853911503082 root_mean_prior_squared_error 0.0994985414402977 root_mean_squared_error 0.08366600265340758 root_mean_squared_error 0.0948683298050514 root_mean_squared_error 0.0948683298050514 root_mean_squared_error 0.08874119674649426 root_mean_squared_error 0.09354143466934856 root_mean_squared_error 0.0921954445729289 root_mean_squared_error 0.08803408430829507 root_mean_squared_error 0.09682458365518545 root_mean_squared_error 0.08874119674649426 root_mean_squared_error 0.08392869090622532 root_relative_squared_error 0.840873569727867 root_relative_squared_error 0.9534610069487428 root_relative_squared_error 0.9534610069487428 root_relative_squared_error 0.8918811049126709 root_relative_squared_error 0.9401252311972099 root_relative_squared_error 0.9266009872400361 root_relative_squared_error 0.8847776569515093 root_relative_squared_error 0.973125681204686 root_relative_squared_error 0.8918844189651877 root_relative_squared_error 0.8435167962395228 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 472.3925559999316 usercpu_time_millis 470.78144499982955 usercpu_time_millis 471.0623429998577 usercpu_time_millis 469.17244600012964 usercpu_time_millis 477.0796790000986 usercpu_time_millis 471.79024400020353 usercpu_time_millis 471.73960100008117 usercpu_time_millis 473.12337099992874 usercpu_time_millis 473.9897260001271 usercpu_time_millis 484.24367000006896 usercpu_time_millis_testing 63.515842000015255 usercpu_time_millis_testing 62.70022399985464 usercpu_time_millis_testing 62.82786399992801 usercpu_time_millis_testing 62.577776000125596 usercpu_time_millis_testing 62.77166100016984 usercpu_time_millis_testing 62.59332300010101 usercpu_time_millis_testing 62.927151000167214 usercpu_time_millis_testing 62.39116400001876 usercpu_time_millis_testing 62.577931000078024 usercpu_time_millis_testing 63.53005899995878 usercpu_time_millis_training 408.8767139999163 usercpu_time_millis_training 408.0812209999749 usercpu_time_millis_training 408.2344789999297 usercpu_time_millis_training 406.59467000000404 usercpu_time_millis_training 414.3080179999288 usercpu_time_millis_training 409.1969210001025 usercpu_time_millis_training 408.81244999991395 usercpu_time_millis_training 410.73220699991 usercpu_time_millis_training 411.4117950000491 usercpu_time_millis_training 420.7136110001102 wall_clock_time_millis 472.4135398864746 wall_clock_time_millis 470.7932472229004 wall_clock_time_millis 471.07410430908203 wall_clock_time_millis 469.1815376281738 wall_clock_time_millis 477.1134853363037 wall_clock_time_millis 471.8024730682373 wall_clock_time_millis 471.77839279174805 wall_clock_time_millis 473.1478691101074 wall_clock_time_millis 474.00403022766113 wall_clock_time_millis 484.27748680114746 wall_clock_time_millis_testing 63.52400779724121 wall_clock_time_millis_testing 62.70885467529297 wall_clock_time_millis_testing 62.83688545227051 wall_clock_time_millis_testing 62.586307525634766 wall_clock_time_millis_testing 62.783002853393555 wall_clock_time_millis_testing 62.602996826171875 wall_clock_time_millis_testing 62.93606758117676 wall_clock_time_millis_testing 62.39962577819824 wall_clock_time_millis_testing 62.58845329284668 wall_clock_time_millis_testing 63.54165077209473 wall_clock_time_millis_training 408.8895320892334 wall_clock_time_millis_training 408.0843925476074 wall_clock_time_millis_training 408.2372188568115 wall_clock_time_millis_training 406.59523010253906 wall_clock_time_millis_training 414.33048248291016 wall_clock_time_millis_training 409.19947624206543 wall_clock_time_millis_training 408.8423252105713 wall_clock_time_millis_training 410.7482433319092 wall_clock_time_millis_training 411.41557693481445 wall_clock_time_millis_training 420.73583602905273