DEVELOPMENT... OpenML
Run
163491

Run 163491

Task 3687 (Supervised Classification) cal_housing 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)_I40
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
0.8827
Per class
F measure
0.7822
Per class
Kappa
0.5446
KB relative information score
11416.9866
Mean absolute error
0.2127
Mean prior absolute error
0.4824
Number of instances
20640
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7888
Per class
Predictive accuracy
0.7874
Prior entropy
0.9745
Recall
0.7874
Per class
Relative absolute error
0.4409
Root mean prior squared error
0.4911
Root mean squared error
0.4233
Root relative squared error
0.862
SciMark benchmark
942.1229
UserCPU time millis
2190
UserCPU time millis testing
40
UserCPU time millis training
2150