From 1e4b4f3e8289b2500ab25990b0e0597cdca7b00c Mon Sep 17 00:00:00 2001
From: Jason Sakellariou <js.sakel@gmail.com>
Date: Tue, 2 May 2023 10:57:29 +0300
Subject: [PATCH] update algorithm descriptions and labels
Descriptions and labels copied from https://redmine.hbpmip.link/issues/728
---
.../mip-algorithms/CALIBRATION_BELT/properties.json | 2 +-
.../src/mip-algorithms/CART/properties.json | 12 ++++++------
.../src/mip-algorithms/ID3/properties.json | 12 ++++++------
.../src/mip-algorithms/KMEANS/properties.json | 6 +++---
4 files changed, 16 insertions(+), 16 deletions(-)
diff --git a/Exareme-Docker/src/mip-algorithms/CALIBRATION_BELT/properties.json b/Exareme-Docker/src/mip-algorithms/CALIBRATION_BELT/properties.json
index 1b4318e4b..09b1c81a3 100644
--- a/Exareme-Docker/src/mip-algorithms/CALIBRATION_BELT/properties.json
+++ b/Exareme-Docker/src/mip-algorithms/CALIBRATION_BELT/properties.json
@@ -21,7 +21,7 @@
{
"name": "y",
"label": "y",
- "desc": "Observed dichotomous outcomes.",
+ "desc": "Observed dichotomous outcome.",
"type": "column",
"columnValuesSQLType": "text, integer",
"columnValuesIsCategorical": "true",
diff --git a/Exareme-Docker/src/mip-algorithms/CART/properties.json b/Exareme-Docker/src/mip-algorithms/CART/properties.json
index 201527f25..72112ec0d 100644
--- a/Exareme-Docker/src/mip-algorithms/CART/properties.json
+++ b/Exareme-Docker/src/mip-algorithms/CART/properties.json
@@ -1,12 +1,12 @@
{
"name": "CART",
- "desc": "CART, used to generate a decision tree from a dataset",
- "label": "CART",
+ "desc": "Decision tree-based algorithm that splits the data into smaller subsets based on the feature that provides the most information gain, and then builds the tree recursively on the smaller subsets.",
+ "label": "Classification and Regression Trees (CART)",
"type": "python_iterative",
"parameters": [{
"name": "x",
- "label": "x",
- "desc": "Independent variables: A list of variables from database.",
+ "label": "Covariate (independent)",
+ "desc": "One or more variables",
"type": "column",
"columnValuesSQLType": "real, integer",
"columnValuesIsCategorical": "",
@@ -17,8 +17,8 @@
"valueType": "string"
}, {
"name": "y",
- "label": "y",
- "desc": "Dependent variable: A variable from database.",
+ "label": "Variable (dependent)",
+ "desc": "A unique variable",
"type": "column",
"columnValuesSQLType": "real, integer, text",
"columnValuesIsCategorical": "",
diff --git a/Exareme-Docker/src/mip-algorithms/ID3/properties.json b/Exareme-Docker/src/mip-algorithms/ID3/properties.json
index e7120e5a5..1f48c58c4 100644
--- a/Exareme-Docker/src/mip-algorithms/ID3/properties.json
+++ b/Exareme-Docker/src/mip-algorithms/ID3/properties.json
@@ -1,12 +1,12 @@
{
"name": "ID3",
- "desc": "Iterative Dichotomiser 3, used to generate a decision tree from a dataset",
- "label": "ID3",
+ "desc": "Decision tree-based algorithm that builds the tree by choosing the feature with the highest information gain at each step.",
+ "label": "Iterative Dichotomiser 3 (ID3)",
"type": "iterative",
"parameters": [{
"name": "x",
- "label": "x",
- "desc": "Independent variables: A list of categorical variables from database.",
+ "label": "Covariate (independent)",
+ "desc": "One or more categorical variables",
"type": "column",
"columnValuesSQLType": "text,integer",
"columnValuesIsCategorical": "true",
@@ -17,8 +17,8 @@
"valueType": "string"
}, {
"name": "y",
- "label": "y",
- "desc": "Dependent variable: A categorical variable from database.",
+ "label": "Variable (dependent)",
+ "desc": "A unique categorical variable",
"type": "column",
"columnValuesSQLType": "text,integer",
"columnValuesIsCategorical": "true",
diff --git a/Exareme-Docker/src/mip-algorithms/KMEANS/properties.json b/Exareme-Docker/src/mip-algorithms/KMEANS/properties.json
index 3cb3c2615..10346998c 100644
--- a/Exareme-Docker/src/mip-algorithms/KMEANS/properties.json
+++ b/Exareme-Docker/src/mip-algorithms/KMEANS/properties.json
@@ -1,12 +1,12 @@
{
"name": "KMEANS",
- "desc": "KMEANS_accurate",
+ "desc": "Unsupervised learning algorithm that partitions a set of data points into k clusters, where k is a user-defined parameter. The algorithm iteratively updates the centroids of each cluster until convergence.",
"label": "k-Means Clustering",
"type": "iterative",
"parameters": [{
"name": "y",
- "label": "y",
- "desc": "A list of real/integer variables from database.",
+ "label": "Variables (independent)",
+ "desc": "A list of continuous variables",
"type": "column",
"columnValuesSQLType": "real,integer",
"columnValuesIsCategorical": "false",
--
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