DEVELOPMENT... OpenML
Run
144297

Run 144297

Task 3605 (Supervised Classification) sleep 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
0.6473
Per class
F measure
0.6919
Per class
Kappa
0.3807
KB relative information score
24.2984
Mean absolute error
0.3027
Mean prior absolute error
0.498
Number of instances
62
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6934
Per class
Predictive accuracy
0.6935
Prior entropy
0.9972
Recall
0.6935
Per class
Relative absolute error
0.6078
Root mean prior squared error
0.499
Root mean squared error
0.5336
Root relative squared error
1.0694
SciMark benchmark
935.8986
UserCPU time millis
20
UserCPU time millis training
20