DEVELOPMENT... OpenML
Run
144502

Run 144502

Task 3800 (Supervised Classification) fri_c3_500_50 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
0.9245
Per class
F measure
0.8557
Per class
Kappa
0.706
KB relative information score
342.5379
Mean absolute error
0.1552
Mean prior absolute error
0.4918
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8558
Per class
Predictive accuracy
0.856
Prior entropy
0.9882
Recall
0.856
Per class
Relative absolute error
0.3156
Root mean prior squared error
0.4959
Root mean squared error
0.3613
Root relative squared error
0.7285
SciMark benchmark
938.9865
UserCPU time millis
1530
UserCPU time millis training
1530