DEVELOPMENT... OpenML
Run
144435

Run 144435

Task 3740 (Supervised Classification) fri_c1_100_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
0.7561
Per class
F measure
0.7478
Per class
Kappa
0.4864
KB relative information score
39.2417
Mean absolute error
0.305
Mean prior absolute error
0.4929
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7495
Per class
Predictive accuracy
0.75
Prior entropy
0.99
Recall
0.75
Per class
Relative absolute error
0.6188
Root mean prior squared error
0.4964
Root mean squared error
0.4908
Root relative squared error
0.9888
SciMark benchmark
935.8986
UserCPU time millis
20
UserCPU time millis training
20