DEVELOPMENT... OpenML
Run
144327

Run 144327

Task 3634 (Supervised Classification) fri_c3_100_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
0.836
Per class
F measure
0.7795
Per class
Kappa
0.5538
KB relative information score
53.1325
Mean absolute error
0.2337
Mean prior absolute error
0.4951
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7796
Per class
Predictive accuracy
0.78
Prior entropy
0.9931
Recall
0.78
Per class
Relative absolute error
0.4719
Root mean prior squared error
0.4975
Root mean squared error
0.4411
Root relative squared error
0.8867
SciMark benchmark
902.4773
UserCPU time millis
110
UserCPU time millis training
110