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comparison random_forest.xml @ 2:caba07f41453 draft default tip

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"planemo upload for repository https://github.com/secimTools/SECIMTools/tree/main/galaxy commit 498abad641099412df56f04ff6e144e4193bbc34-dirty"
author malex
date Thu, 10 Jun 2021 15:41:17 +0000
parents 2e7d47c0b027
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1:2e7d47c0b027 2:caba07f41453
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91 (2) a TSV file where ranked features from the wide format dataset are saved in columns in the order that corresponds to their relative importance 91 (2) a TSV file where ranked features from the wide format dataset are saved in columns in the order that corresponds to their relative importance
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93 (3) and a PDF file a variable importance plot for the first 50 components. The variable importance plot displays the X (Default = 20) most important features based on the random forest algorithm. The color of each feature changes from the most important (dark blue) to the least important (light blue). 93 (3) and a PDF file a variable importance plot for the first 50 components. The variable importance plot displays the X (Default = 20) most important features based on the random forest algorithm. The color of each feature changes from the most important (dark blue) to the least important (light blue).
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95 **NOTE:** The user can take the resulting TSV file and plot any two (or three) features using the Scatter Plot 2D or Scatter Plot 2D tools. 95 **NOTE:** The user can take the resulting TSV file and plot any two (or three) features using the Scatter Plot 2D or Scatter Plot 3D tools.
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97 A plot of two (or three) most important features is recommended since they are probably the most meaningful, but other features can be also considered for plotting. 97 A plot of two (or three) most important features is recommended since they are probably the most meaningful, but other features can be also considered for plotting.
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99 **To plot the 2 most important features**: use the SECIM Tools 'Scatter Plot 2D' tool on the transformed dataset to plot the features against each other and evaluate separation levels. 99 **To plot the 2 most important features**: use the SECIM Tools 'Scatter Plot 2D' tool on the transformed dataset to plot the features against each other and evaluate separation levels.
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