DEVELOPMENT... OpenML
Run
108900

Run 108900

Task 18 (Supervised Classification) mfeat-morphological Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_DecisionStump(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.AdaBoostM1_DecisionStump(2)_I80
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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.

21 Evaluation measures

Area under ROC curve
0.758
Per class
Build CPU time
0.0116
Build memory
31815212
F measure
0.0801
Per class
Kappa
0.1106
KB relative information score
572.1443
Mean absolute error
0.1606
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.0577
Per class
Predictive accuracy
0.1995
Prior entropy
3.3219
Recall
0.1995
Per class
Relative absolute error
0.8923
Root mean prior squared error
0.3
Root mean squared error
0.2834
Root relative squared error
0.9446
SciMark benchmark
920.7965