DEVELOPMENT... OpenML
Run
144477

Run 144477

Task 3784 (Supervised Classification) analcatdata_seropositive 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
0.9923
Per class
F measure
0.9473
Per class
Kappa
0.885
KB relative information score
116.5979
Mean absolute error
0.0499
Mean prior absolute error
0.4548
Number of instances
132
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9487
Per class
Predictive accuracy
0.947
Prior entropy
0.9347
Recall
0.947
Per class
Relative absolute error
0.1098
Root mean prior squared error
0.4765
Root mean squared error
0.2003
Root relative squared error
0.4204
SciMark benchmark
931.4202
UserCPU time millis
20
UserCPU time millis testing
10
UserCPU time millis training
10