DEVELOPMENT... OpenML
Run
164236

Run 164236

Task 3701 (Supervised Classification) sleuth_case1102 Uploaded 17-02-2015 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)_I80
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
0.3228
Per class
F measure
0.4306
Per class
Kappa
-0.1577
KB relative information score
-5.2377
Mean absolute error
0.5672
Mean prior absolute error
0.4935
Number of instances
34
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4265
Per class
Predictive accuracy
0.4412
Prior entropy
0.9911
Recall
0.4412
Per class
Relative absolute error
1.1493
Root mean prior squared error
0.4965
Root mean squared error
0.7232
Root relative squared error
1.4565
SciMark benchmark
936.7115
UserCPU time millis
10
UserCPU time millis training
10

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