DEVELOPMENT... OpenML
Run
144234

Run 144234

Task 3540 (Supervised Classification) analcatdata_boxing1 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
0.875
Per class
F measure
0.8391
Per class
Kappa
0.6422
KB relative information score
75.8312
Mean absolute error
0.1617
Mean prior absolute error
0.4557
Number of instances
120
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8398
Per class
Predictive accuracy
0.8417
Prior entropy
0.9362
Recall
0.8417
Per class
Relative absolute error
0.3548
Root mean prior squared error
0.477
Root mean squared error
0.382
Root relative squared error
0.8008
SciMark benchmark
931.4202
UserCPU time millis
10
UserCPU time millis training
10