DEVELOPMENT... OpenML
Run
144457

Run 144457

Task 3759 (Supervised Classification) fri_c3_500_25 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
0.9353
Per class
F measure
0.8639
Per class
Kappa
0.7235
KB relative information score
357.2039
Mean absolute error
0.141
Mean prior absolute error
0.4928
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
0.8638
Per class
Predictive accuracy
0.864
Prior entropy
0.9897
Recall
0.864
Per class
Relative absolute error
0.2861
Root mean prior squared error
0.4964
Root mean squared error
0.3409
Root relative squared error
0.6868
SciMark benchmark
938.9865
UserCPU time millis
790
UserCPU time millis testing
10
UserCPU time millis training
780