File size: 36,408 Bytes
b2ffd6d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 | <!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>ML Prediction Probability Visualizer</title>
<script src="https://cdn.tailwindcss.com"></script>
<script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/PapaParse/5.3.0/papaparse.min.js"></script>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css">
<style>
.dropzone {
border: 2px dashed #3b82f6;
transition: all 0.3s ease;
}
.dropzone.active {
border-color: #10b981;
background-color: #f0f9ff;
}
.probability-bar {
transition: width 0.5s ease;
}
.glow {
box-shadow: 0 0 15px rgba(59, 130, 246, 0.5);
}
.card-hover:hover {
transform: translateY(-5px);
transition: all 0.3s ease;
}
.fade-in {
animation: fadeIn 0.5s ease-in;
}
@keyframes fadeIn {
from { opacity: 0; }
to { opacity: 1; }
}
</style>
</head>
<body class="bg-gray-50 min-h-screen">
<div class="container mx-auto px-4 py-8">
<!-- Header -->
<header class="text-center mb-12">
<h1 class="text-4xl font-bold text-blue-600 mb-2">ML Prediction Probability Visualizer</h1>
<p class="text-gray-600 max-w-2xl mx-auto">Upload your prediction results and visualize the probability distributions with interactive charts and insights.</p>
</header>
<!-- Main Content -->
<div class="grid grid-cols-1 lg:grid-cols-3 gap-8">
<!-- Upload Section -->
<div class="bg-white rounded-xl shadow-md p-6 lg:col-span-1 card-hover">
<h2 class="text-xl font-semibold text-gray-800 mb-4 flex items-center">
<i class="fas fa-upload mr-2 text-blue-500"></i> Upload Data
</h2>
<div id="dropzone" class="dropzone rounded-lg p-8 text-center cursor-pointer mb-4">
<i class="fas fa-file-csv text-4xl text-blue-400 mb-3"></i>
<p class="text-gray-600 mb-2">Drag & drop your CSV/JSON file here</p>
<p class="text-sm text-gray-500">or</p>
<input type="file" id="fileInput" class="hidden" accept=".csv,.json,.txt">
<button id="selectFileBtn" class="mt-3 bg-blue-500 hover:bg-blue-600 text-white px-4 py-2 rounded-lg transition">
Select File
</button>
</div>
<div class="mt-4">
<label for="fileType" class="block text-sm font-medium text-gray-700 mb-1">File Type</label>
<select id="fileType" class="w-full border border-gray-300 rounded-md px-3 py-2 focus:outline-none focus:ring-2 focus:ring-blue-500">
<option value="csv">CSV</option>
<option value="json">JSON</option>
</select>
</div>
<div class="mt-4">
<label for="probabilityColumn" class="block text-sm font-medium text-gray-700 mb-1">Probability Column (CSV)</label>
<input type="text" id="probabilityColumn" placeholder="e.g., coppaRisk" class="w-full border border-gray-300 rounded-md px-3 py-2 focus:outline-none focus:ring-2 focus:ring-blue-500">
</div>
<button id="visualizeBtn" class="mt-6 w-full bg-green-500 hover:bg-green-600 text-white px-4 py-3 rounded-lg font-medium transition flex items-center justify-center disabled:opacity-50" disabled>
<i class="fas fa-chart-bar mr-2"></i> Visualize Probabilities
</button>
</div>
<!-- Visualization Section -->
<div class="bg-white rounded-xl shadow-md p-6 lg:col-span-2 card-hover">
<div class="flex justify-between items-center mb-6">
<h2 class="text-xl font-semibold text-gray-800 flex items-center">
<i class="fas fa-chart-pie mr-2 text-blue-500"></i> Probability Distribution
</h2>
<div class="flex space-x-2">
<button id="barChartBtn" class="px-3 py-1 bg-blue-100 text-blue-600 rounded-md text-sm">
<i class="fas fa-chart-bar mr-1"></i> Bar
</button>
<button id="pieChartBtn" class="px-3 py-1 bg-gray-100 text-gray-600 rounded-md text-sm">
<i class="fas fa-chart-pie mr-1"></i> Pie
</button>
<button id="histogramBtn" class="px-3 py-1 bg-gray-100 text-gray-600 rounded-md text-sm">
<i class="fas fa-chart-line mr-1"></i> Histogram
</button>
</div>
</div>
<div id="chartContainer" class="h-80 flex items-center justify-center bg-gray-50 rounded-lg mb-6">
<p class="text-gray-400">Upload a file to visualize prediction probabilities</p>
</div>
<div id="statsContainer" class="grid grid-cols-2 md:grid-cols-4 gap-4 mb-6">
<!-- Stats will be populated here -->
</div>
<div id="probabilityBars" class="space-y-3">
<!-- Probability bars will be populated here -->
</div>
</div>
</div>
<!-- Data Table Section (hidden by default) -->
<div id="dataTableSection" class="mt-8 bg-white rounded-xl shadow-md p-6 hidden fade-in">
<div class="flex justify-between items-center mb-4">
<h2 class="text-xl font-semibold text-gray-800 flex items-center">
<i class="fas fa-table mr-2 text-blue-500"></i> Raw Data Preview
</h2>
<button id="toggleTableBtn" class="text-blue-500 hover:text-blue-700 text-sm">
<i class="fas fa-eye-slash mr-1"></i> Hide Table
</button>
</div>
<div class="overflow-x-auto">
<table id="dataTable" class="min-w-full divide-y divide-gray-200">
<thead class="bg-gray-50">
<tr>
<!-- Table headers will be populated here -->
</tr>
</thead>
<tbody class="bg-white divide-y divide-gray-200">
<!-- Table rows will be populated here -->
</tbody>
</table>
</div>
</div>
<!-- Insights Section (hidden by default) -->
<div id="insightsSection" class="mt-8 bg-white rounded-xl shadow-md p-6 hidden fade-in">
<h2 class="text-xl font-semibold text-gray-800 mb-4 flex items-center">
<i class="fas fa-lightbulb mr-2 text-yellow-500"></i> Model Insights
</h2>
<div id="insightsContent" class="grid grid-cols-1 md:grid-cols-2 gap-4">
<!-- Insights will be populated here -->
</div>
</div>
</div>
<script>
document.addEventListener('DOMContentLoaded', function() {
// DOM Elements
const dropzone = document.getElementById('dropzone');
const fileInput = document.getElementById('fileInput');
const selectFileBtn = document.getElementById('selectFileBtn');
const visualizeBtn = document.getElementById('visualizeBtn');
const chartContainer = document.getElementById('chartContainer');
const statsContainer = document.getElementById('statsContainer');
const probabilityBars = document.getElementById('probabilityBars');
const dataTableSection = document.getElementById('dataTableSection');
const dataTable = document.getElementById('dataTable');
const insightsSection = document.getElementById('insightsSection');
const toggleTableBtn = document.getElementById('toggleTableBtn');
const barChartBtn = document.getElementById('barChartBtn');
const pieChartBtn = document.getElementById('pieChartBtn');
const histogramBtn = document.getElementById('histogramBtn');
// Variables
let uploadedData = null;
let chart = null;
let currentChartType = 'bar';
// Event Listeners
selectFileBtn.addEventListener('click', () => fileInput.click());
fileInput.addEventListener('change', handleFileSelect);
dropzone.addEventListener('dragover', (e) => {
e.preventDefault();
dropzone.classList.add('active');
});
dropzone.addEventListener('dragleave', () => {
dropzone.classList.remove('active');
});
dropzone.addEventListener('drop', (e) => {
e.preventDefault();
dropzone.classList.remove('active');
if (e.dataTransfer.files.length) {
fileInput.files = e.dataTransfer.files;
handleFileSelect({ target: fileInput });
}
});
visualizeBtn.addEventListener('click', visualizeData);
toggleTableBtn.addEventListener('click', () => {
dataTableSection.classList.toggle('hidden');
toggleTableBtn.innerHTML = dataTableSection.classList.contains('hidden') ?
'<i class="fas fa-eye mr-1"></i> Show Table' :
'<i class="fas fa-eye-slash mr-1"></i> Hide Table';
});
barChartBtn.addEventListener('click', () => switchChartType('bar'));
pieChartBtn.addEventListener('click', () => switchChartType('pie'));
histogramBtn.addEventListener('click', () => switchChartType('histogram'));
// Functions
function handleFileSelect(event) {
const file = event.target.files[0];
if (!file) return;
const fileType = document.getElementById('fileType').value;
const reader = new FileReader();
reader.onload = function(e) {
try {
if (fileType === 'csv') {
Papa.parse(e.target.result, {
header: true,
skipEmptyLines: true,
complete: function(results) {
uploadedData = results.data;
visualizeBtn.disabled = false;
showSuccess('File uploaded successfully!');
},
error: function(error) {
showError('Error parsing CSV file: ' + error.message);
}
});
} else if (fileType === 'json') {
uploadedData = JSON.parse(e.target.result);
visualizeBtn.disabled = false;
showSuccess('File uploaded successfully!');
}
} catch (error) {
showError('Error parsing file: ' + error.message);
}
};
reader.onerror = function() {
showError('Error reading file');
};
reader.readAsText(file);
}
function visualizeData() {
if (!uploadedData || uploadedData.length === 0) {
showError('No data to visualize');
return;
}
const probabilityColumn = document.getElementById('probabilityColumn').value;
// Process data based on file type
let probabilities = [];
let labels = [];
if (document.getElementById('fileType').value === 'csv') {
if (!probabilityColumn) {
showError('Please specify the probability column name for CSV files');
return;
}
// Process CSV data
uploadedData.forEach((row, index) => {
if (row[probabilityColumn]) {
probabilities.push(parseFloat(row[probabilityColumn]));
labels.push(`Prediction ${index + 1}`);
}
});
} else {
// Process JSON data (assuming array of numbers or array of objects with probability property)
if (Array.isArray(uploadedData)) {
if (typeof uploadedData[0] === 'number') {
probabilities = uploadedData;
labels = uploadedData.map((_, index) => `Prediction ${index + 1}`);
} else if (typeof uploadedData[0] === 'object') {
probabilities = uploadedData.map(item => item.probability || item.prediction || item.value || 0);
labels = uploadedData.map((item, index) => item.label || `Prediction ${index + 1}`);
}
}
}
if (probabilities.length === 0) {
showError('No valid probability data found');
return;
}
// Update UI
updateStats(probabilities);
updateProbabilityBars(probabilities, labels);
renderChart(probabilities, labels, currentChartType);
renderDataTable(uploadedData);
generateInsights(probabilities);
// Show sections
dataTableSection.classList.remove('hidden');
insightsSection.classList.remove('hidden');
}
function updateStats(probabilities) {
const mean = probabilities.reduce((a, b) => a + b, 0) / probabilities.length;
const sorted = [...probabilities].sort((a, b) => a - b);
const median = sorted[Math.floor(sorted.length / 2)];
const min = Math.min(...probabilities);
const max = Math.max(...probabilities);
const stdDev = Math.sqrt(probabilities.reduce((sq, n) => sq + Math.pow(n - mean, 2), 0) / probabilities.length);
statsContainer.innerHTML = `
<div class="bg-blue-50 p-4 rounded-lg">
<p class="text-sm text-blue-500 font-medium">Mean Probability</p>
<p class="text-2xl font-bold text-blue-600">${mean.toFixed(4)}</p>
</div>
<div class="bg-green-50 p-4 rounded-lg">
<p class="text-sm text-green-500 font-medium">Median Probability</p>
<p class="text-2xl font-bold text-green-600">${median.toFixed(4)}</p>
</div>
<div class="bg-purple-50 p-4 rounded-lg">
<p class="text-sm text-purple-500 font-medium">Standard Deviation</p>
<p class="text-2xl font-bold text-purple-600">${stdDev.toFixed(4)}</p>
</div>
<div class="bg-yellow-50 p-4 rounded-lg">
<p class="text-sm text-yellow-500 font-medium">Range</p>
<p class="text-2xl font-bold text-yellow-600">${min.toFixed(4)} - ${max.toFixed(4)}</p>
</div>
`;
}
function updateProbabilityBars(probabilities, labels) {
probabilityBars.innerHTML = '';
probabilities.forEach((prob, index) => {
const percentage = Math.round(prob * 100);
const barColor = prob > 0.7 ? 'bg-green-500' : prob > 0.3 ? 'bg-yellow-500' : 'bg-red-500';
const bar = document.createElement('div');
bar.className = 'probability-bar';
bar.innerHTML = `
<div class="flex justify-between mb-1">
<span class="text-sm font-medium text-gray-700">${labels[index] || `Prediction ${index + 1}`}</span>
<span class="text-sm font-medium ${prob > 0.7 ? 'text-green-600' : prob > 0.3 ? 'text-yellow-600' : 'text-red-600'}">${prob.toFixed(4)}</span>
</div>
<div class="w-full bg-gray-200 rounded-full h-2.5">
<div class="h-2.5 rounded-full ${barColor}" style="width: ${percentage}%"></div>
</div>
`;
probabilityBars.appendChild(bar);
// Trigger animation
setTimeout(() => {
bar.querySelector(`.${barColor}`).classList.add('glow');
}, index * 100);
});
}
function renderChart(probabilities, labels, type = 'bar') {
// Destroy previous chart if exists
if (chart) {
chart.destroy();
}
const ctx = document.createElement('canvas');
chartContainer.innerHTML = '';
chartContainer.appendChild(ctx);
const backgroundColors = probabilities.map(prob => {
const opacity = 0.7;
return prob > 0.7 ? `rgba(16, 185, 129, ${opacity})` :
prob > 0.3 ? `rgba(234, 179, 8, ${opacity})` :
`rgba(239, 68, 68, ${opacity})`;
});
const borderColors = probabilities.map(prob => {
return prob > 0.7 ? 'rgba(16, 185, 129, 1)' :
prob > 0.3 ? 'rgba(234, 179, 8, 1)' :
'rgba(239, 68, 68, 1)';
});
const chartData = {
labels: labels,
datasets: [{
label: 'Prediction Probability',
data: probabilities,
backgroundColor: backgroundColors,
borderColor: borderColors,
borderWidth: 1
}]
};
const chartOptions = {
responsive: true,
maintainAspectRatio: false,
scales: {
y: {
beginAtZero: true,
max: 1,
ticks: {
callback: function(value) {
return value.toFixed(2);
}
}
}
},
plugins: {
tooltip: {
callbacks: {
label: function(context) {
return `Probability: ${context.raw.toFixed(4)}`;
}
}
}
}
};
switch (type) {
case 'bar':
chart = new Chart(ctx, {
type: 'bar',
data: chartData,
options: chartOptions
});
barChartBtn.className = 'px-3 py-1 bg-blue-100 text-blue-600 rounded-md text-sm';
pieChartBtn.className = 'px-3 py-1 bg-gray-100 text-gray-600 rounded-md text-sm';
histogramBtn.className = 'px-3 py-1 bg-gray-100 text-gray-600 rounded-md text-sm';
break;
case 'pie':
chart = new Chart(ctx, {
type: 'pie',
data: chartData,
options: {
...chartOptions,
plugins: {
legend: {
position: 'right',
},
tooltip: {
callbacks: {
label: function(context) {
const label = context.label || '';
const value = context.raw || 0;
const percentage = Math.round(value * 100);
return `${label}: ${value.toFixed(4)} (${percentage}%)`;
}
}
}
}
}
});
barChartBtn.className = 'px-3 py-1 bg-gray-100 text-gray-600 rounded-md text-sm';
pieChartBtn.className = 'px-3 py-1 bg-blue-100 text-blue-600 rounded-md text-sm';
histogramBtn.className = 'px-3 py-1 bg-gray-100 text-gray-600 rounded-md text-sm';
break;
case 'histogram':
// For histogram, we'll bin the probabilities
const binCount = Math.min(10, Math.floor(probabilities.length / 5));
const histogramData = Array(binCount).fill(0);
const step = 1 / binCount;
probabilities.forEach(prob => {
const binIndex = Math.min(Math.floor(prob / step), binCount - 1);
histogramData[binIndex]++;
});
const histogramLabels = Array.from({length: binCount}, (_, i) => {
const start = (i * step).toFixed(2);
const end = ((i + 1) * step).toFixed(2);
return `${start}-${end}`;
});
chart = new Chart(ctx, {
type: 'bar',
data: {
labels: histogramLabels,
datasets: [{
label: 'Count of Predictions',
data: histogramData,
backgroundColor: 'rgba(59, 130, 246, 0.7)',
borderColor: 'rgba(59, 130, 246, 1)',
borderWidth: 1
}]
},
options: {
...chartOptions,
scales: {
y: {
beginAtZero: true,
title: {
display: true,
text: 'Count'
}
},
x: {
title: {
display: true,
text: 'Probability Range'
}
}
}
}
});
barChartBtn.className = 'px-3 py-1 bg-gray-100 text-gray-600 rounded-md text-sm';
pieChartBtn.className = 'px-3 py-1 bg-gray-100 text-gray-600 rounded-md text-sm';
histogramBtn.className = 'px-3 py-1 bg-blue-100 text-blue-600 rounded-md text-sm';
break;
}
currentChartType = type;
}
function renderDataTable(data) {
if (!data || data.length === 0) return;
// Clear previous table
dataTable.querySelector('thead tr').innerHTML = '';
dataTable.querySelector('tbody').innerHTML = '';
// Get headers from first object
const headers = Object.keys(data[0]);
// Add headers
headers.forEach(header => {
const th = document.createElement('th');
th.className = 'px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider';
th.textContent = header;
dataTable.querySelector('thead tr').appendChild(th);
});
// Add rows (limit to 10 for performance)
const rowsToShow = Math.min(10, data.length);
for (let i = 0; i < rowsToShow; i++) {
const row = document.createElement('tr');
row.className = i % 2 === 0 ? 'bg-white' : 'bg-gray-50';
headers.forEach(header => {
const td = document.createElement('td');
td.className = 'px-6 py-4 whitespace-nowrap text-sm text-gray-500';
td.textContent = data[i][header] !== undefined ? data[i][header] : '';
row.appendChild(td);
});
dataTable.querySelector('tbody').appendChild(row);
}
}
function generateInsights(probabilities) {
const highConfidence = probabilities.filter(p => p > 0.7).length;
const lowConfidence = probabilities.filter(p => p < 0.3).length;
const midConfidence = probabilities.length - highConfidence - lowConfidence;
const mean = probabilities.reduce((a, b) => a + b, 0) / probabilities.length;
const sorted = [...probabilities].sort((a, b) => a - b);
const median = sorted[Math.floor(sorted.length / 2)];
insightsSection.innerHTML = `
<div class="bg-white p-4 rounded-lg border border-gray-200">
<h3 class="font-medium text-gray-800 mb-2 flex items-center">
<i class="fas fa-chart-line mr-2 text-blue-500"></i> Confidence Distribution
</h3>
<div class="space-y-2">
<div class="flex justify-between">
<span class="text-sm text-green-600">High Confidence (>70%)</span>
<span class="text-sm font-medium">${highConfidence} (${Math.round(highConfidence/probabilities.length*100)}%)</span>
</div>
<div class="flex justify-between">
<span class="text-sm text-yellow-600">Medium Confidence (30-70%)</span>
<span class="text-sm font-medium">${midConfidence} (${Math.round(midConfidence/probabilities.length*100)}%)</span>
</div>
<div class="flex justify-between">
<span class="text-sm text-red-600">Low Confidence (<30%)</span>
<span class="text-sm font-medium">${lowConfidence} (${Math.round(lowConfidence/probabilities.length*100)}%)</span>
</div>
</div>
</div>
<div class="bg-white p-4 rounded-lg border border-gray-200">
<h3 class="font-medium text-gray-800 mb-2 flex items-center">
<i class="fas fa-balance-scale mr-2 text-purple-500"></i> Central Tendency
</h3>
<div class="space-y-2">
<div class="flex justify-between">
<span class="text-sm">Mean Probability</span>
<span class="text-sm font-medium">${mean.toFixed(4)}</span>
</div>
<div class="flex justify-between">
<span class="text-sm">Median Probability</span>
<span class="text-sm font-medium">${median.toFixed(4)}</span>
</div>
<div class="flex justify-between">
<span class="text-sm">Difference</span>
<span class="text-sm font-medium">${Math.abs(mean - median).toFixed(4)}</span>
</div>
</div>
</div>
<div class="bg-white p-4 rounded-lg border border-gray-200">
<h3 class="font-medium text-gray-800 mb-2 flex items-center">
<i class="fas fa-exclamation-triangle mr-2 text-red-500"></i> Potential Issues
</h3>
<div class="space-y-2 text-sm">
${lowConfidence > probabilities.length * 0.5 ?
'<p class="text-red-500"><i class="fas fa-exclamation-circle mr-1"></i> Over 50% of predictions have low confidence (<30%)</p>' :
'<p class="text-green-500"><i class="fas fa-check-circle mr-1"></i> Low confidence predictions are in acceptable range</p>'}
${Math.abs(mean - median) > 0.2 ?
'<p class="text-yellow-500"><i class="fas fa-exclamation-circle mr-1"></i> Significant difference between mean and median probabilities</p>' :
'<p class="fas fa-check-circle mr-1"></i> Mean and median probabilities are close</p>'}
</div>
</div>
<div class="bg-white p-4 rounded-lg border border-gray-200">
<h3 class="font-medium text-gray-800 mb-2 flex items-center">
<i class="fas fa-lightbulb mr-2 text-yellow-500"></i> Recommendations
</h3>
<div class="space-y-2 text-sm">
<p><i class="fas fa-check-circle text-blue-500 mr-1"></i> Review low confidence predictions for potential errors</p>
<p><i class="fas fa-check-circle text-blue-500 mr-1"></i> Consider model retraining if confidence is consistently low</p>
<p><i class="fas fa-check-circle text-blue-500 mr-1"></i> Examine features influencing high confidence predictions</p>
</div>
</div>
`;
}
function switchChartType(type) {
if (!uploadedData) return;
const probabilityColumn = document.getElementById('probabilityColumn').value;
let probabilities = [];
let labels = [];
if (document.getElementById('fileType').value === 'csv') {
uploadedData.forEach((row, index) => {
if (row[probabilityColumn]) {
probabilities.push(parseFloat(row[probabilityColumn]));
labels.push(`Prediction ${index + 1}`);
}
});
} else {
if (Array.isArray(uploadedData)) {
if (typeof uploadedData[0] === 'number') {
probabilities = uploadedData;
labels = uploadedData.map((_, index) => `Prediction ${index + 1}`);
} else if (typeof uploadedData[0] === 'object') {
probabilities = uploadedData.map(item => item.probability || item.prediction || item.value || 0);
labels = uploadedData.map((item, index) => item.label || `Prediction ${index + 1}`);
}
}
}
renderChart(probabilities, labels, type);
}
function showSuccess(message) {
const alert = document.createElement('div');
alert.className = 'fixed top-4 right-4 bg-green-100 border border-green-400 text-green-700 px-4 py-3 rounded shadow-lg z-50 flex items-center';
alert.innerHTML = `
<i class="fas fa-check-circle mr-2"></i>
<span>${message}</span>
`;
document.body.appendChild(alert);
setTimeout(() => {
alert.classList.add('opacity-0', 'transition-opacity', 'duration-500');
setTimeout(() => alert.remove(), 500);
}, 3000);
}
function showError(message) {
const alert = document.createElement('div');
alert.className = 'fixed top-4 right-4 bg-red-100 border border-red-400 text-red-700 px-4 py-3 rounded shadow-lg z-50 flex items-center';
alert.innerHTML = `
<i class="fas fa-exclamation-circle mr-2"></i>
<span>${message}</span>
`;
document.body.appendChild(alert);
setTimeout(() => {
alert.classList.add('opacity-0', 'transition-opacity', 'duration-500');
setTimeout(() => alert.remove(), 500);
}, 3000);
}
});
</script>
<p style="border-radius: 8px; text-align: center; font-size: 12px; color: #fff; margin-top: 16px;position: fixed; left: 8px; bottom: 8px; z-index: 10; background: rgba(0, 0, 0, 0.8); padding: 4px 8px;">Made with <img src="https://enzostvs-deepsite.hf.space/logo.svg" alt="DeepSite Logo" style="width: 16px; height: 16px; vertical-align: middle;display:inline-block;margin-right:3px;filter:brightness(0) invert(1);"><a href="https://enzostvs-deepsite.hf.space" style="color: #fff;text-decoration: underline;" target="_blank" >DeepSite</a> - 🧬 <a href="https://enzostvs-deepsite.hf.space?remix=farwew/proba-le" style="color: #fff;text-decoration: underline;" target="_blank" >Remix</a></p></body>
</html> |