1852917
348
Giuseppe Casalicchio
59
Supervised Classification
predictive_accuracy
5688
mlr.classif.rpart.tuned(7)
29350
openml.seed
1
5688
openml.kind
Mersenne-Twister
5688
openml.normal.kind
Inversion
5688
myspecialtag
61
iris
https://www.openml.org/data/download/61/dataset_61_iris.arff
-1
4654874
description
https://api.openml.org/data/download/4654874/description6c3c445278e7.xml
-1
4654875
predictions
https://api.openml.org/data/download/4654875/predictions6c3c43bb4512.arff
-1
4654876
Trace
https://api.openml.org/data/download/4654876/optimization_trace6c3c77f0731.arff
area_under_roc_curve
0.945 [1,0.92,0.915]
average_cost
0
f_measure
0.926659 [1,0.891089,0.888889]
kappa
0.89
kb_relative_information_score
134.940227
mean_absolute_error
0.048889
mean_prior_absolute_error
0.444444
number_of_instances
150 [50,50,50]
precision
0.926771 [1,0.882353,0.897959]
predictive_accuracy
0.926667
prior_entropy
1.584963
recall
0.926667 [1,0.9,0.88]
relative_absolute_error
0.11
root_mean_prior_squared_error
0.471405
root_mean_squared_error
0.221108
root_relative_squared_error
0.469042
total_cost
0
area_under_roc_curve
0.95 [1,0.95,0.9]
area_under_roc_curve
0.95 [1,0.9,0.95]
area_under_roc_curve
0.95 [1,0.9,0.95]
area_under_roc_curve
0.95 [1,0.9,0.95]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.85 [1,0.8,0.75]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.9 [1,0.9,0.8]
area_under_roc_curve
0.9 [1,0.85,0.85]
area_under_roc_curve
1 [1,1,1]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.93266 [1,0.909091,0.888889]
f_measure
0.93266 [1,0.888889,0.909091]
f_measure
0.93266 [1,0.888889,0.909091]
f_measure
0.93266 [1,0.888889,0.909091]
f_measure
1 [1,1,1]
f_measure
0.79798 [1,0.727273,0.666667]
f_measure
1 [1,1,1]
f_measure
0.861111 [1,0.833333,0.75]
f_measure
0.866667 [1,0.8,0.8]
f_measure
1 [1,1,1]
kappa
0.9
kappa
0.9
kappa
0.9
kappa
0.9
kappa
1
kappa
0.7
kappa
1
kappa
0.8
kappa
0.8
kappa
1
kb_relative_information_score
13.63093
kb_relative_information_score
13.63093
kb_relative_information_score
13.63093
kb_relative_information_score
13.63093
kb_relative_information_score
15
kb_relative_information_score
10.892789
kb_relative_information_score
15
kb_relative_information_score
12.26186
kb_relative_information_score
12.26186
kb_relative_information_score
15
mean_absolute_error
0.044444
mean_absolute_error
0.044444
mean_absolute_error
0.044444
mean_absolute_error
0.044444
mean_absolute_error
0
mean_absolute_error
0.133333
mean_absolute_error
0
mean_absolute_error
0.088889
mean_absolute_error
0.088889
mean_absolute_error
0
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
precision
0.944444 [1,0.833333,1]
precision
0.944444 [1,1,0.833333]
precision
0.944444 [1,1,0.833333]
precision
0.944444 [1,1,0.833333]
precision
1 [1,1,1]
precision
0.805556 [1,0.666667,0.75]
precision
1 [1,1,1]
precision
0.904762 [1,0.714286,1]
precision
0.866667 [1,0.8,0.8]
precision
1 [1,1,1]
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
1
predictive_accuracy
0.8
predictive_accuracy
1
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
1
prior_entropy
1.584963
prior_entropy
1.584963
prior_entropy
1.584963
prior_entropy
1.584963
prior_entropy
1.584963
prior_entropy
1.584963
prior_entropy
1.584963
prior_entropy
1.584963
prior_entropy
1.584963
prior_entropy
1.584963
recall
0.933333 [1,1,0.8]
recall
0.933333 [1,0.8,1]
recall
0.933333 [1,0.8,1]
recall
0.933333 [1,0.8,1]
recall
1 [1,1,1]
recall
0.8 [1,0.8,0.6]
recall
1 [1,1,1]
recall
0.866667 [1,1,0.6]
recall
0.866667 [1,0.8,0.8]
recall
1 [1,1,1]
relative_absolute_error
0.1
relative_absolute_error
0.1
relative_absolute_error
0.1
relative_absolute_error
0.1
relative_absolute_error
0
relative_absolute_error
0.3
relative_absolute_error
0
relative_absolute_error
0.2
relative_absolute_error
0.2
relative_absolute_error
0
root_mean_prior_squared_error
0.471405
root_mean_prior_squared_error
0.471405
root_mean_prior_squared_error
0.471405
root_mean_prior_squared_error
0.471405
root_mean_prior_squared_error
0.471405
root_mean_prior_squared_error
0.471405
root_mean_prior_squared_error
0.471405
root_mean_prior_squared_error
0.471405
root_mean_prior_squared_error
0.471405
root_mean_prior_squared_error
0.471405
root_mean_squared_error
0.210819
root_mean_squared_error
0.210819
root_mean_squared_error
0.210819
root_mean_squared_error
0.210819
root_mean_squared_error
0
root_mean_squared_error
0.365148
root_mean_squared_error
0
root_mean_squared_error
0.298142
root_mean_squared_error
0.298142
root_mean_squared_error
0
root_relative_squared_error
0.447214
root_relative_squared_error
0.447214
root_relative_squared_error
0.447214
root_relative_squared_error
0.447214
root_relative_squared_error
0
root_relative_squared_error
0.774597
root_relative_squared_error
0
root_relative_squared_error
0.632456
root_relative_squared_error
0.632456
root_relative_squared_error
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
total_cost
0