DEVELOPMENT... OpenML
Run
144468

Run 144468

Task 3773 (Supervised Classification) fri_c1_1000_10 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
0.9674
Per class
F measure
0.9019
Per class
Kappa
0.8004
KB relative information score
788.5539
Mean absolute error
0.1045
Mean prior absolute error
0.4918
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9019
Per class
Predictive accuracy
0.902
Prior entropy
0.9882
Recall
0.902
Per class
Relative absolute error
0.2124
Root mean prior squared error
0.4959
Root mean squared error
0.2813
Root relative squared error
0.5672
SciMark benchmark
938.9865
UserCPU time millis
680
UserCPU time millis training
680