DEVELOPMENT... OpenML
Run
144290

Run 144290

Task 3597 (Supervised Classification) baskball 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
0.7529
Per class
F measure
0.6649
Per class
Kappa
0.3354
KB relative information score
35.9049
Mean absolute error
0.3111
Mean prior absolute error
0.4998
Number of instances
96
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6726
Per class
Predictive accuracy
0.6667
Prior entropy
0.9997
Recall
0.6667
Per class
Relative absolute error
0.6225
Root mean prior squared error
0.4999
Root mean squared error
0.5347
Root relative squared error
1.0697
SciMark benchmark
938.9865
UserCPU time millis
30
UserCPU time millis training
30