DEVELOPMENT... OpenML
Run
144278

Run 144278

Task 3581 (Supervised Classification) fri_c3_1000_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
0.9688
Per class
F measure
0.9108
Per class
Kappa
0.819
KB relative information score
804.2849
Mean absolute error
0.098
Mean prior absolute error
0.4935
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
0.9111
Per class
Predictive accuracy
0.911
Prior entropy
0.9906
Recall
0.911
Per class
Relative absolute error
0.1987
Root mean prior squared error
0.4967
Root mean squared error
0.2689
Root relative squared error
0.5413
SciMark benchmark
935.8986
UserCPU time millis
1550
UserCPU time millis training
1550