DEVELOPMENT... OpenML
Run
136247

Run 136247

Task 3737 (Supervised Classification) fri_c3_250_50 Uploaded 31-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_RandomTree(2)_I80
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.6425
Per class
Build CPU time
0.0055
Build memory
107460510.4
F measure
0.6484
Per class
Kappa
0.2843
KB relative information score
69.2339
Mean absolute error
0.352
Mean prior absolute error
0.4908
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6488
Per class
Predictive accuracy
0.648
Prior entropy
0.9868
Recall
0.648
Per class
Relative absolute error
0.7172
Root mean prior squared error
0.4954
Root mean squared error
0.5933
Root relative squared error
1.1977
SciMark benchmark
916.3022