DEVELOPMENT... OpenML
Run
144480

Run 144480

Task 3783 (Supervised Classification) fri_c2_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
0.9575
Per class
F measure
0.9018
Per class
Kappa
0.7967
KB relative information score
393.9159
Mean absolute error
0.102
Mean prior absolute error
0.4839
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
0.9018
Per class
Predictive accuracy
0.902
Prior entropy
0.9767
Recall
0.902
Per class
Relative absolute error
0.2109
Root mean prior squared error
0.4918
Root mean squared error
0.2919
Root relative squared error
0.5935
SciMark benchmark
938.9865
UserCPU time millis
1490
UserCPU time millis training
1490