DEVELOPMENT... OpenML
Run
144198

Run 144198

Task 3496 (Supervised Classification) SPECTF 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
0.9426
Per class
F measure
0.9075
Per class
Kappa
0.7726
KB relative information score
258.0394
Mean absolute error
0.0917
Mean prior absolute error
0.3968
Number of instances
349
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9132
Per class
Predictive accuracy
0.9054
Prior entropy
0.8464
Recall
0.9054
Per class
Relative absolute error
0.231
Root mean prior squared error
0.4451
Root mean squared error
0.2784
Root relative squared error
0.6254
SciMark benchmark
915.2795
UserCPU time millis
730
UserCPU time millis training
730