DEVELOPMENT... OpenML
Run
162495

Run 162495

Task 2074 (Supervised Classification) satimage Uploaded 16-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I20
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_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.

22 Evaluation measures

Area under ROC curve
0.7017
Per class
F measure
0.2904
Per class
Kappa
0.269
KB relative information score
1730.986
Mean absolute error
0.2224
Mean prior absolute error
0.2701
Number of instances
6430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2288
Per class
Predictive accuracy
0.4373
Prior entropy
2.4836
Recall
0.4373
Per class
Relative absolute error
0.8235
Root mean prior squared error
0.3675
Root mean squared error
0.3336
Root relative squared error
0.9078
SciMark benchmark
938.4285
UserCPU time millis
80
UserCPU time millis testing
10
UserCPU time millis training
70