DEVELOPMENT... OpenML
Run
144292

Run 144292

Task 3598 (Supervised Classification) fri_c0_250_50 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
0.8633
Per class
F measure
0.8118
Per class
Kappa
0.6219
KB relative information score
149.8737
Mean absolute error
0.2007
Mean prior absolute error
0.498
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8119
Per class
Predictive accuracy
0.812
Prior entropy
0.9971
Recall
0.812
Per class
Relative absolute error
0.403
Root mean prior squared error
0.499
Root mean squared error
0.4258
Root relative squared error
0.8533
SciMark benchmark
945.6434
UserCPU time millis
710
UserCPU time millis testing
10
UserCPU time millis training
700