DEVELOPMENT... OpenML
Run
144107

Run 144107

Task 13 (Supervised Classification) breast-cancer 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
0.6395
Per class
F measure
0.6831
Per class
Kappa
0.2163
KB relative information score
39.9495
Mean absolute error
0.3451
Mean prior absolute error
0.4183
Number of instances
286
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6772
Per class
Predictive accuracy
0.6993
Prior entropy
0.8796
Recall
0.6993
Per class
Relative absolute error
0.8249
Root mean prior squared error
0.457
Root mean squared error
0.4789
Root relative squared error
1.0479
SciMark benchmark
915.2795
UserCPU time millis
20
UserCPU time millis training
20