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Cover - Scattergraph (support vs confidence)
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<!DOCTYPE html> | |
<meta charset="utf-8"> | |
<style> | |
body { | |
font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; | |
margin: auto; | |
position: relative; | |
width: 960px; | |
background: #fff; | |
} | |
text { | |
font: 10px sans-serif; | |
} | |
#chart { | |
position: absolute; | |
left: 10px; | |
top: 10px; | |
line-height: 150% | |
} | |
.axis path, | |
.axis line { | |
fill: none; | |
stroke: black; | |
shape-rendering: crispEdges; | |
} | |
.axis text { | |
font-family: sans-serif; | |
font-size: 11px; | |
} | |
</style> | |
<body> | |
<div id="chart"></div> | |
</body> | |
<script src="http://d3js.org/d3.v3.min.js"></script> | |
<script> | |
d3.json("model.json", function(error, model) { | |
var margin = {top: 20, right: 20, bottom: 50, left: 45}; | |
var width = 900 - margin.left - margin.right; | |
var height = 500 - margin.top - margin.bottom; | |
var xPadding = 20; | |
var yPadding = 35; | |
var leaves = get_leaves(model.model.root); | |
var max_support = (leaves.sort(function (x, y) { | |
return y.count - x.count})[0].count)/model.rows; | |
var xScale = d3.scale.linear() | |
.domain([0, max_support + 0.025]) | |
.range([0, width]); | |
var yScale = d3.scale.linear() | |
.domain([0, 1]) | |
.range([height, 0]); | |
var xAxis = d3.svg.axis() | |
.scale(xScale) | |
.orient("bottom") | |
.ticks(15); | |
var yAxis = d3.svg.axis() | |
.scale(yScale) | |
.orient("left") | |
.ticks(25); | |
var colorPrediction = d3.scale.category10(); | |
var colorLookup = function(leaf) { | |
return hoverAdjust(leaf, colorPrediction(leaf.output)); | |
}; | |
// SVG panel. | |
var svg = d3.select("#chart") | |
.append("svg") | |
.attr("width", width + margin.left + margin.right) | |
.attr("height", height + margin.top + margin.bottom) | |
.append("g") | |
.attr("transform", "translate(" + margin.left + "," + margin.top + ")"); | |
// Adds X axis | |
svg.append("g") | |
.attr("class", "x axis") | |
.attr("transform", "translate(0," + height + ")") | |
.call(xAxis) | |
.append("text") | |
.attr("class", "label") | |
.attr("x", width/2) | |
.attr("y", 32) | |
.style("text-anchor", "middle") | |
.text("Support"); | |
// Adds Y axis | |
svg.append("g") | |
.attr("class", "y axis") | |
.call(yAxis) | |
.append("text") | |
.attr("class", "label") | |
.attr("transform", "rotate(-90)") | |
.attr("x", -height/2) | |
.attr("y", -45) | |
.attr("dy", ".71em") | |
.style("text-anchor", "middle") | |
.text("Confidence") | |
// Draw X-axis grid lines | |
svg.selectAll("line.x") | |
.data(xScale.ticks(10)) | |
.enter().append("line") | |
.attr("class", "x") | |
.attr("x1", xScale) | |
.attr("x2", xScale) | |
.attr("y1", 0) | |
.attr("y2", height) | |
.style("stroke", "#ccc"); | |
// Draw Y-axis grid lines | |
svg.selectAll("line.y") | |
.data(yScale.ticks(10)) | |
.enter().append("line") | |
.attr("class", "y") | |
.attr("x1", 0) | |
.attr("x2", width) | |
.attr("y1", yScale) | |
.attr("y2", yScale) | |
.style("stroke", "#ccc"); | |
// Output | |
svg.append('text') | |
.attr("text-anchor", "middle") | |
.attr({'id': 'outputLabel', 'x': width/2, 'y': height-20}) | |
.style({'font-size': '40px', 'font-weight': 'bold', 'fill': '#ddd'}); | |
// Draw leaves | |
svg.selectAll("circle") | |
.data(leaves) | |
.enter() | |
.append("circle") | |
.attr("cx", function(leaf) { | |
return xScale(leaf.count/model.rows); | |
}) | |
.attr("cy", function(leaf) { | |
return yScale(leaf.confidence); | |
}) | |
.attr("r", function(leaf) { | |
return 2 * Math.sqrt(height - yScale(leaf.count/model.rows)); | |
}) | |
.attr("fill", colorLookup) | |
.attr("stroke", colorLookup) | |
.style('cursor', 'pointer') | |
.on('mouseover', function(leaf) { | |
d3.select('svg #outputLabel') | |
.text(leaf.output + " (" + ((leaf.count/model.rows) * 100).toFixed(2) + "%, " + (leaf.confidence * 100).toFixed(2) + "%)") | |
.transition() | |
.style('opacity', 1); | |
}) | |
.on('mouseout', function(d) { | |
d3.select('svg #outputLabel') | |
.transition() | |
.duration(1500) | |
.style('opacity', 0); | |
}); | |
// Draw legends | |
var legend = svg.selectAll(".legend") | |
.data(colorPrediction.domain()) | |
.enter().append("g") | |
.attr("class", "legend") | |
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; }); | |
legend.append("rect") | |
.attr("x", width - 18) | |
.attr("width", 18) | |
.attr("height", 18) | |
.style("fill", colorPrediction); | |
legend.append("text") | |
.attr("x", width - 24) | |
.attr("y", 9) | |
.attr("dy", ".35em") | |
.style("text-anchor", "end") | |
.text(function(d) { return d; }); | |
}); | |
// Returns the list of leaves of a tree | |
function get_leaves(node) { | |
var leaves = []; | |
if ('children' in node) { | |
for (var i=0; i < node.children.length; i++) { | |
var childLeaves = get_leaves(node.children[i]); | |
for (var j=0; j < childLeaves.length; j++) { | |
leaves.push(childLeaves[j]); | |
} | |
} | |
} else { | |
var distribution = []; | |
if ('bins' in node.objective_summary) { | |
distribution = node.objective_summary.bins; | |
} | |
else if ('counts' in node.objective_summary) { | |
distribution = node.objective_summary.counts; | |
} | |
else if ('categories' in node.objective_summary) { | |
distribution = node.objective_summary.categories | |
} | |
leaves = [{ | |
"confidence": node.confidence, | |
"count": node.count, | |
"distribution": distribution, | |
"output": node.output}]; | |
} | |
return leaves; | |
}; | |
// Adjust hover | |
function hoverAdjust(d, color) { | |
return d.hover ? d3.rgb(color).brighter(0.66) : color; | |
}; | |
</script> | |
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{"category": 0, "code": 200, "columns": 55, "created": "2013-04-01T07:04:57.928000", "credits": 311.4508361816406, "credits_per_prediction": 0.0, "dataset": "dataset/5159305f035d0731bf00020f", "dataset_status": true, "description": "", "excluded_fields": [], "fields_meta": {"count": 55, "limit": 1000, "offset": 0, "total": 55}, "input_fields": ["000000", "000011", "000022", "000033", "000001", "000012", "000023", "000034", "000002", "000013", "000024", "000035", "000003", "000014", "000025", "000004", "000015", "000026", "000005", "000016", "000027", "000006", "000017", "000028", "000007", "000018", "000029", "000008", "000019", "000009", "00002a", "00001a", "00002b", "00000a", "00001b", "00002c", "00000b", "00001c", "00002d", "00000c", "00001d", "00002e", "00000d", "00001e", "00002f", "00000e", "00001f", "00000f", "000030", "000020", "000031", "000010", "000021", "000032"], "locale": "en-US", "max_columns": 55, "max_rows": 581012, "model": {"depth_threshold": 20, "fields": {"000000": 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"datatype": "int16", "name": "Hillshade 9am", "optype": "numeric", "order": 6, "preferred": true, "summary": {"bins": [[0, 13], [36, 1], [47.33333, 3], [57.15625, 32], [66.01961, 51], [73.7395, 119], [80.77698, 139], [88.02062, 291], [96.91327, 588], [106.83048, 1109], [115.82207, 1450], [121.52669, 993], [126.60103, 1935], [132.58971, 2547], [137.55744, 2124], [142.65103, 3751], [149.70328, 6838], [157.69615, 8909], [164.63263, 8931], [169.55562, 7156], [176.83789, 25656], [184.61416, 21037], [190.60549, 25918], [196.55616, 32485], [202.5876, 38065], [209.65704, 62334], [217.62918, 76533], [225.47546, 86716], [233.33085, 78845], [240.30663, 44767], [245.38013, 20922], [250.51513, 20754]], "maximum": 254, "mean": 212.14605, "median": 217.68213, "minimum": 0, "missing_count": 0, "population": 581012, "splits": [149.35998, 165.32846, 174.86839, 181.48468, 186.7611, 191.17194, 194.92896, 198.32129, 201.41863, 204.226, 206.85739, 209.27908, 211.59516, 213.70588, 215.75091, 217.68213, 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