DEVELOPMENT... OpenML
Run
134880

Run 134880

Task 3544 (Supervised Classification) analcatdata_broadwaymult Uploaded 28-12-2014 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)_I20
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
0.6865
Per class
Build CPU time
0.0025
Build memory
2445686397.7544
F measure
0.4283
Per class
Kappa
0.2785
KB relative information score
76.137
Mean absolute error
0.1799
Mean prior absolute error
0.2203
Number of instances
285
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4071
Per class
Predictive accuracy
0.4737
Prior entropy
2.4897
Recall
0.4737
Per class
Relative absolute error
0.8165
Root mean prior squared error
0.3314
Root mean squared error
0.3358
Root relative squared error
1.0132
SciMark benchmark
946.9091