DEVELOPMENT... OpenML
Run
144340

Run 144340

Task 3646 (Supervised Classification) rabe_265 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
0.65
Per class
F measure
0.6286
Per class
Kappa
0.2364
KB relative information score
8.6573
Mean absolute error
0.3991
Mean prior absolute error
0.485
Number of instances
51
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6303
Per class
Predictive accuracy
0.6275
Prior entropy
0.9791
Recall
0.6275
Per class
Relative absolute error
0.8229
Root mean prior squared error
0.4922
Root mean squared error
0.5622
Root relative squared error
1.1422
SciMark benchmark
935.8986
UserCPU time millis
20
UserCPU time millis training
20