DEVELOPMENT... OpenML
Run
144361

Run 144361

Task 3664 (Supervised Classification) fri_c0_1000_5 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
0.9566
Per class
F measure
0.881
Per class
Kappa
0.762
KB relative information score
749.9008
Mean absolute error
0.1271
Mean prior absolute error
0.5
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
0.881
Per class
Predictive accuracy
0.881
Prior entropy
1
Recall
0.881
Per class
Relative absolute error
0.2541
Root mean prior squared error
0.5
Root mean squared error
0.3035
Root relative squared error
0.6071
SciMark benchmark
902.4773
UserCPU time millis
380
UserCPU time millis testing
10
UserCPU time millis training
370