DEVELOPMENT... OpenML
Run
144382

Run 144382

Task 3689 (Supervised Classification) fri_c1_500_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
0.9616
Per class
F measure
0.9001
Per class
Kappa
0.7985
KB relative information score
394.3877
Mean absolute error
0.1053
Mean prior absolute error
0.4954
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9003
Per class
Predictive accuracy
0.9
Prior entropy
0.9934
Recall
0.9
Per class
Relative absolute error
0.2125
Root mean prior squared error
0.4977
Root mean squared error
0.2922
Root relative squared error
0.5871
SciMark benchmark
945.6434
UserCPU time millis
290
UserCPU time millis training
290