DEVELOPMENT... OpenML
Run
144301

Run 144301

Task 3608 (Supervised Classification) fri_c4_500_100 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
0.9275
Per class
F measure
0.8598
Per class
Kappa
0.7141
KB relative information score
345.9665
Mean absolute error
0.1519
Mean prior absolute error
0.4913
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8598
Per class
Predictive accuracy
0.86
Prior entropy
0.9875
Recall
0.86
Per class
Relative absolute error
0.3091
Root mean prior squared error
0.4956
Root mean squared error
0.3548
Root relative squared error
0.7159
SciMark benchmark
935.8986
UserCPU time millis
2670
UserCPU time millis training
2670