From bc2e9e9a6cb1f8cf0e1937e779b4cef5e0b7e28f Mon Sep 17 00:00:00 2001
From: Jiga228 <danilkorshikov80@mail.ru>
Date: Tue, 14 Jul 2026 11:53:44 +0700
Subject: [PATCH] =?UTF-8?q?=D0=98=D1=81=D0=BF=D1=80=D0=B0=D0=B2=D0=B8?=
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MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 .gitignore                     |   1 +
 README.txt                     |   8 +-
 TitanicAI.cpp                  |  68 +++---
 TitanicAI.sln.DotSettings.user |   2 +
 test.txt                       | 418 +++++++++++++++++++++++++++++++++
 test.xlsx                      | Bin 0 -> 30820 bytes
 6 files changed, 459 insertions(+), 38 deletions(-)
 create mode 100644 TitanicAI.sln.DotSettings.user
 create mode 100644 test.txt
 create mode 100644 test.xlsx

diff --git a/.gitignore b/.gitignore
index 8ec79ac..8faa802 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,2 +1,3 @@
 .idea/
 x64/
+answer.txt
\ No newline at end of file
diff --git a/README.txt b/README.txt
index b79bfaf..39c2b05 100644
--- a/README.txt
+++ b/README.txt
@@ -1,10 +1,12 @@
 # TitanicAI
-Эта неросеть предсказывает смерть пасажиров Титаника с вероятностью 0.76
+Эта неросеть предсказывает смерть пасажиров Титаника с точностью 0.67
 
 В файле train.txt находится ассет для обучет
+В файле test.txt находится ассет для одемонстрации
 
-В файле TitanicAI.cpp константа count_train_items указыает на количество ассетов для обучения. Остальные пойдут на тесты.
-Скорость обучения решулируется во втором параметре конструктора
+Скорость/Точность обучения решулируется во втором параметре конструктора
 
 Вектора в ассете:
 Survived|Pclass|Sex|Age|Relatives|Fare|Embarked
+
+Задача и ассеты отсюда https://www.kaggle.com/competitions/titanic/
\ No newline at end of file
diff --git a/TitanicAI.cpp b/TitanicAI.cpp
index 33beea0..ac26b89 100644
--- a/TitanicAI.cpp
+++ b/TitanicAI.cpp
@@ -16,7 +16,7 @@ protected:
     }
     
 public:
-    TitanicAI() : NeuronsNetworkBase(count_neurons, 0.01)
+    TitanicAI() : NeuronsNetworkBase(count_neurons, 0.0000001)
     {}
     
     double call(const data_item& data) override
@@ -48,61 +48,59 @@ public:
     }
 };
 
-constexpr size_t count_train_items = 700;
-std::vector<data_item> train_data;
+void test(TitanicAI& ai)
+{
+    std::ifstream file("test.txt");
+    std::vector<data_item> test_data;
+
+    data_item item;
+    while (file >> item[0] >> item[1] >> item[2] >> item[3] >> item[4] >> item[5] >> item[6])
+    {
+        test_data.push_back(item);
+    }
+    
+    std::ofstream answer("answer.txt");
+    
+    answer << "PassengerId,Survived\n";
+    for (auto& i : test_data)
+    {
+        answer << static_cast<int>(i[0]) << ',' << (ai.call(i) > 0.5) << '\n';
+    }
+}
 
 int main(int argc, char* argv[])
 {
     TitanicAI ai;
     std::ifstream file("train.txt");
     
-    while (file.eof() == false)
+    std::vector<data_item> train_data;
+    data_item item;
+    while (file >> item[0] >> item[1] >> item[2] >> item[3] >> item[4] >> item[5] >> item[6])
     {
-        data_item item{};
-        
-        std::string vec;
-        file >> vec;
-        if (vec.empty() == false)
-            item[0] = std::stod(vec);
-        file >> vec;
-        if (vec.empty() == false)
-            item[1] = std::stod(vec);
-        file >> vec;
-        if (vec.empty() == false)
-            item[2] = std::stod(vec);
-        file >> vec;
-        if (vec.empty() == false)
-            item[3] = std::stod(vec);
-        file >> vec;
-        if (vec.empty() == false)
-            item[4] = std::stod(vec);
-        file >> vec;
-        if (vec.empty() == false)
-            item[5] = std::stod(vec);
-        if (vec.empty() == false)
-            item[6] = std::stod(vec);
-        
         train_data.push_back(item);
     }
+    file.close();
     
-    for (size_t i = 0; i < count_train_items; ++i)
+    for (auto& i : train_data)
     {
-        ai.train(train_data[i][0] - ai.call(train_data[i]), train_data[i]);
+        ai.train(i[0] - ai.call(i), i);
     }
     
     size_t score = 0;
-    const size_t max_score = train_data.size() - count_train_items;
-    constexpr double delta = 0.001;
-    for (size_t i = count_train_items + 1; i < train_data.size(); ++i)
+    const size_t max_score = train_data.size();
+    for (auto& i : train_data)
     {
-        double activate_result = ai.call(train_data[i]);
+        constexpr double delta = 0.001;
+        double activate_result = ai.call(i);
         bool is_dead =  activate_result + delta > 0.5;
-        if (is_dead == static_cast<bool>(train_data[i][0]))
+        if (is_dead == static_cast<bool>(i[0]))
             ++score;
     }
     
     std::cout << "Accuracy: " << score << '/' << max_score << " (float: " << (static_cast<double>(score) / static_cast<double>(max_score)) << ")\n";
     std::cout << "Masses: "; ai.print_masses();
     
+    test(ai);
+    
     return 0;
 }
diff --git a/TitanicAI.sln.DotSettings.user b/TitanicAI.sln.DotSettings.user
new file mode 100644
index 0000000..c7b6416
--- /dev/null
+++ b/TitanicAI.sln.DotSettings.user
@@ -0,0 +1,2 @@
+<wpf:ResourceDictionary xml:space="preserve" xmlns:x="http://schemas.microsoft.com/winfx/2006/xaml" xmlns:s="clr-namespace:System;assembly=mscorlib" xmlns:ss="urn:shemas-jetbrains-com:settings-storage-xaml" xmlns:wpf="http://schemas.microsoft.com/winfx/2006/xaml/presentation">
+	<s:String x:Key="/Default/CodeInspection/ExcludedFiles/FilesAndFoldersToSkip2/=7020124F_002D9FFC_002D4AC3_002D8F3D_002DAAB8E0240759_002Ff_003ALipegux_002Easm_002Fl_003A_002E_002E_003F_002E_002E_003FAppData_003FLocal_003FTemp_003FSandboxFiles_003FWugaluv_003FLipegux_002Easm/@EntryIndexedValue">ForceIncluded</s:String></wpf:ResourceDictionary>
\ No newline at end of file
diff --git a/test.txt b/test.txt
new file mode 100644
index 0000000..725e786
--- /dev/null
+++ b/test.txt
@@ -0,0 +1,418 @@
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diff --git a/test.xlsx b/test.xlsx
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