DEVELOPMENT... OpenML
Run
144394

Run 144394

Task 3701 (Supervised Classification) sleuth_case1102 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
0.5789
Per class
F measure
0.531
Per class
Kappa
0.0588
KB relative information score
2.4166
Mean absolute error
0.454
Mean prior absolute error
0.4935
Number of instances
34
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5363
Per class
Predictive accuracy
0.5294
Prior entropy
0.9911
Recall
0.5294
Per class
Relative absolute error
0.92
Root mean prior squared error
0.4965
Root mean squared error
0.5771
Root relative squared error
1.1623
SciMark benchmark
935.8986
UserCPU time millis
10
UserCPU time millis training
10