<p>Numbers indicated are %-accuracy calculated excluding unknown cells. Numbers in parentheses indicate sample size for each cell class; note that for the probability-thresholded GPC sample sizes decreased as cells were excluded as unknown.</p
<p>Average classification accuracy for the different methods; error bars show Confidence Interval. T...
The box plots of the average accuracy rates (for n = 10 samples) obtained by BIRS, BIRSR, IGIS, and ...
It has been asserted that, using traditional pruning methods, growing decision trees with increasing...
<p>Following the format used by Ruigrok <i>et al.</i> (2011), <b>A</b> compares the classifications ...
Results are based on All pixels and all input features (left panel), All pixels and the top 10 input...
<p>Bright shade represents high confidence in classification results and dark shade represents low c...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
Abstract: Decision Tree is a classification method used in Machine Learning and Data Mining. One maj...
<p>The classification accuracy achieved for each fold run by various methods for German Credit Data ...
Decision Tree (DT) typically splitting criteria using one variable at a time. In this way, the final...
<p>Classification accuracy comparison with PIWAH, TIWAH and proposed research.</p
<p>Classification accuracy (%) for all subjects using different feature extraction methods.</p
BCI competition IV dataset 1 classification accuracy (%) of dataset 1 with proposed method compared ...
Comparison of accuracy and feature dimension under different methods based on tree.</p
<p>Average classification accuracy for the different methods; error bars show Confidence Interval. T...
The box plots of the average accuracy rates (for n = 10 samples) obtained by BIRS, BIRSR, IGIS, and ...
It has been asserted that, using traditional pruning methods, growing decision trees with increasing...
<p>Following the format used by Ruigrok <i>et al.</i> (2011), <b>A</b> compares the classifications ...
Results are based on All pixels and all input features (left panel), All pixels and the top 10 input...
<p>Bright shade represents high confidence in classification results and dark shade represents low c...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
Abstract: Decision Tree is a classification method used in Machine Learning and Data Mining. One maj...
<p>The classification accuracy achieved for each fold run by various methods for German Credit Data ...
Decision Tree (DT) typically splitting criteria using one variable at a time. In this way, the final...
<p>Classification accuracy comparison with PIWAH, TIWAH and proposed research.</p
<p>Classification accuracy (%) for all subjects using different feature extraction methods.</p
BCI competition IV dataset 1 classification accuracy (%) of dataset 1 with proposed method compared ...
Comparison of accuracy and feature dimension under different methods based on tree.</p
<p>Average classification accuracy for the different methods; error bars show Confidence Interval. T...
The box plots of the average accuracy rates (for n = 10 samples) obtained by BIRS, BIRSR, IGIS, and ...
It has been asserted that, using traditional pruning methods, growing decision trees with increasing...