DEVELOPMENT... OpenML
Run
144285

Run 144285

Task 3592 (Supervised Classification) fri_c2_100_5 Uploaded 31-01-2015 by Felicia West
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Flow

weka.AdaBoostM1_ADTree(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.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_Wweka.classifiers.trees.ADTree

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.

22 Evaluation measures

Area under ROC curve
0.8575
Per class
F measure
0.8207
Per class
Kappa
0.6281
KB relative information score
62.2074
Mean absolute error
0.1777
Mean prior absolute error
0.4804
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.822
Per class
Predictive accuracy
0.82
Prior entropy
0.9721
Recall
0.82
Per class
Relative absolute error
0.37
Root mean prior squared error
0.4899
Root mean squared error
0.4068
Root relative squared error
0.8303
SciMark benchmark
938.9865
UserCPU time millis
40
UserCPU time millis training
40