DEVELOPMENT... OpenML
Run
144651

Run 144651

Task 3889 (Supervised Classification) sylva_agnostic 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
0.998
Per class
F measure
0.9928
Per class
Kappa
0.9379
KB relative information score
13027.9688
Mean absolute error
0.008
Mean prior absolute error
0.1156
Number of instances
14395
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9928
Per class
Predictive accuracy
0.9928
Prior entropy
0.3338
Recall
0.9928
Per class
Relative absolute error
0.0694
Root mean prior squared error
0.2403
Root mean squared error
0.0786
Root relative squared error
0.3271
SciMark benchmark
945.6434
UserCPU time millis
456520
UserCPU time millis testing
120
UserCPU time millis training
456400