def predict_eviction_risk(self, week_number): # Simplified logistic regression mock nominated = [c for c in self.contestants if week_number in c['nominationWeeks']] for c in nominated: risk = ( 0.3 * c['nominationsCount'] + 0.4 * (1 - c['fanPollRank'] / len(self.contestants)) + 0.3 * (c['taskFailures'] / max(1, c['tasksWonAsCaptain'] + c['taskFailures'])) ) c['eviction_risk'] = min(0.99, risk) return sorted(nominated, key=lambda x: x['eviction_risk'], reverse=True)
contestant.eviction_risk && ( <div className="mt-3 p-2 rounded bg-gray-800"> <span className="text-sm">⚠️ Eviction risk: </span> <span style=color: riskColor>(contestant.eviction_risk * 100).toFixed(0)%</span> </div> ) </div> );
def compare_contestants(self, id1, id2): c1 = next(c for c in self.contestants if c['id'] == id1) c2 = next(c for c in self.contestants if c['id'] == id2) comparison = "name": [c1['name'], c2['name']], "nominations_count": [c1['nominationsCount'], c2['nominationsCount']], "task_success_rate": [ c1['tasksWonAsCaptain'] / max(1, c1['tasksWonAsCaptain'] + c1['taskFailures']), c2['tasksWonAsCaptain'] / max(1, c2['tasksWonAsCaptain'] + c2['taskFailures']) ], "personality_overlap": len(set(c1['personalityTraits']) & set(c2['personalityTraits'])) / len(set(c1['personalityTraits'] + c2['personalityTraits'])) return comparison
<div className="mt-3 flex gap-2 flex-wrap"> contestant.personalityTraits.map(trait => ( <span key=trait className="bg-gray-800 text-xs px-2 py-1 rounded-full">trait</span> )) </div>
return ( <div className="bg-gray-900 rounded-xl p-4 shadow-lg border-l-8 border-yellow-500"> <h2 className="text-2xl font-bold text-white">contestant.name</h2> <p className="text-gray-400">contestant.occupation • contestant.age</p>
Bigg Boss Season 6 Contestants Malayalam !exclusive! May 2026
def predict_eviction_risk(self, week_number): # Simplified logistic regression mock nominated = [c for c in self.contestants if week_number in c['nominationWeeks']] for c in nominated: risk = ( 0.3 * c['nominationsCount'] + 0.4 * (1 - c['fanPollRank'] / len(self.contestants)) + 0.3 * (c['taskFailures'] / max(1, c['tasksWonAsCaptain'] + c['taskFailures'])) ) c['eviction_risk'] = min(0.99, risk) return sorted(nominated, key=lambda x: x['eviction_risk'], reverse=True)
contestant.eviction_risk && ( <div className="mt-3 p-2 rounded bg-gray-800"> <span className="text-sm">⚠️ Eviction risk: </span> <span style=color: riskColor>(contestant.eviction_risk * 100).toFixed(0)%</span> </div> ) </div> ); bigg boss season 6 contestants malayalam
def compare_contestants(self, id1, id2): c1 = next(c for c in self.contestants if c['id'] == id1) c2 = next(c for c in self.contestants if c['id'] == id2) comparison = "name": [c1['name'], c2['name']], "nominations_count": [c1['nominationsCount'], c2['nominationsCount']], "task_success_rate": [ c1['tasksWonAsCaptain'] / max(1, c1['tasksWonAsCaptain'] + c1['taskFailures']), c2['tasksWonAsCaptain'] / max(1, c2['tasksWonAsCaptain'] + c2['taskFailures']) ], "personality_overlap": len(set(c1['personalityTraits']) & set(c2['personalityTraits'])) / len(set(c1['personalityTraits'] + c2['personalityTraits'])) return comparison risk) return sorted(nominated
<div className="mt-3 flex gap-2 flex-wrap"> contestant.personalityTraits.map(trait => ( <span key=trait className="bg-gray-800 text-xs px-2 py-1 rounded-full">trait</span> )) </div> key=lambda x: x['eviction_risk']
return ( <div className="bg-gray-900 rounded-xl p-4 shadow-lg border-l-8 border-yellow-500"> <h2 className="text-2xl font-bold text-white">contestant.name</h2> <p className="text-gray-400">contestant.occupation • contestant.age</p>