DEVELOPMENT... OpenML
Run
144097

Run 144097

Task 4 (Supervised Classification) labor 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
0.9203
Per class
F measure
0.8778
Per class
Kappa
0.7335
KB relative information score
32.8704
Mean absolute error
0.2038
Mean prior absolute error
0.457
Number of instances
57
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8791
Per class
Predictive accuracy
0.8772
Prior entropy
0.9393
Recall
0.8772
Per class
Relative absolute error
0.446
Root mean prior squared error
0.4773
Root mean squared error
0.3109
Root relative squared error
0.6514
SciMark benchmark
923.9763
UserCPU time millis
10
UserCPU time millis training
10

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