DEVELOPMENT... OpenML
Run
144505

Run 144505

Task 3810 (Supervised Classification) arsenic-male-bladder 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
0.7931
Per class
F measure
0.971
Per class
Kappa
0.6206
KB relative information score
262.1188
Mean absolute error
0.0271
Mean prior absolute error
0.0837
Number of instances
559
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9705
Per class
Predictive accuracy
0.9732
Prior entropy
0.2628
Recall
0.9732
Per class
Relative absolute error
0.3239
Root mean prior squared error
0.2027
Root mean squared error
0.1576
Root relative squared error
0.7773
SciMark benchmark
938.9865
UserCPU time millis
110
UserCPU time millis testing
10
UserCPU time millis training
100