diff --git a/inference/src/test/java/cz/aprar/bonitoo/inference/CacheInferenceTest.java b/inference/src/test/java/cz/aprar/bonitoo/inference/CacheInferenceTest.java
index 1e5acc0..d5b3081 100644
--- a/inference/src/test/java/cz/aprar/bonitoo/inference/CacheInferenceTest.java
+++ b/inference/src/test/java/cz/aprar/bonitoo/inference/CacheInferenceTest.java
@@ -50,7 +50,7 @@ public class CacheInferenceTest {
                         39766.0,
                         Boolean.TRUE,
                         39766.0
-                ), TTL.D2},
+                ), TTL.D3},
                 {new FlightData(
                         "fly-me-to",
                         "PYTON",
@@ -84,7 +84,7 @@ public class CacheInferenceTest {
                         5971.77978,
                         Boolean.TRUE,
                         15971.77978
-                ), TTL.D2},
+                ), TTL.D3},
                 {new FlightData(
                         "fly-me-to",
                         "HH",
@@ -101,7 +101,7 @@ public class CacheInferenceTest {
                         17723.0,
                         Boolean.TRUE,
                         17723.0
-                ), TTL.D14},
+                ), TTL.D2},
                 {new FlightData(
                         "unknown",
                         "unknown",
diff --git a/inference/src/test/resources/model/encoder.json b/inference/src/test/resources/model/encoder.json
index a5e6a55..6966cae 100644
--- a/inference/src/test/resources/model/encoder.json
+++ b/inference/src/test/resources/model/encoder.json
@@ -1 +1 @@
-{"client.channel": {"centrum": 0, "essens": 1, "fly-me-to": 2, "levne": 3, "prima": 4, "prima_sk": 5, "trip": 6}, "type": {"51": 0, "AVIA": 1, "HH": 2, "IL": 3, "PYTON": 4, "WS": 5}, "flight.inboundSegments.departure": {"2019-09-26T13:20:00": 0, "2019-09-26T15:05:00": 1, "2019-09-27T16:20:00": 2, "2019-09-27T17:45:00": 3, "2019-09-27T21:35:00|2019-09-28T04:45:00": 4, "2019-09-28T04:35:00": 5, "2019-09-28T05:00:00|2019-09-28T12:35:00": 6, "2019-09-28T16:20:00": 7, "2019-09-28T16:30:00": 8, "2019-09-28T18:15:00": 9, "2019-09-28T22:50:00": 10, "2019-09-29T05:00:00": 11, "2019-09-29T05:40:00": 12, "2019-09-29T06:15:00": 13, "2019-09-29T06:30:00|2019-09-29T17:30:00": 14, "2019-09-29T07:40:00": 15, "2019-09-29T08:00:00": 16, "2019-09-29T08:05:00": 17, "2019-09-29T10:30:00|2019-09-29T16:40:00|2019-09-30T06:15:00|2019-09-30T10:50:00": 18, "2019-09-29T11:15:00": 19, "2019-09-29T11:45:00|2019-09-30T04:30:00": 20, "2019-09-29T11:55:00": 21, "2019-09-29T12:15:00": 22, "2019-09-29T12:40:00": 23, 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\ No newline at end of file
diff --git a/inference/src/test/resources/model/xgboost-model.bin b/inference/src/test/resources/model/xgboost-model.bin
index 728f022..af73616 100644
Binary files a/inference/src/test/resources/model/xgboost-model.bin and b/inference/src/test/resources/model/xgboost-model.bin differ
diff --git a/src/train_model.py b/src/train_model.py
index fa3ac83..f11c5b4 100644
--- a/src/train_model.py
+++ b/src/train_model.py
@@ -95,11 +95,11 @@ def expected_value(row, price_pos_abs=200, price_neg_abs=100, price_pos_perc=0.0
         expcachetime = incachetime
     if equal_price(inprice, outprice):
         if pd.isnull(incachetime):
-            return 3
+            return 4
         modifier = 1
 
     if pd.isnull(incachetime):
-        return 1
+        return 2
 
     if expcachetime <= np.timedelta64(12,'h'):
         return 1 + modifier
@@ -116,18 +116,21 @@ def expected_value(row, price_pos_abs=200, price_neg_abs=100, price_pos_perc=0.0
     
     return min(7, 7 + modifier)
 
+def fromisoformat(s):
+    return dt.datetime.strptime(s, '%Y-%m-%dT%H:%M:%S')
+    
 def compute_duration(row):
     indeparture, outdeparture = row['flight.inboundSegments.departure'], row['flight.outboundSegments.departure']
     if pd.isna(indeparture):
         return 0
     else:
-        indt = dt.datetime.fromisoformat(indeparture.split('|')[0])
-        outdt = dt.datetime.fromisoformat(outdeparture.split('|')[0])
+        indt = fromisoformat(indeparture.split('|')[0])
+        outdt = fromisoformat(outdeparture.split('|')[0])
         return (indt - outdt).days
 
 def compute_prebooking(row):
     tstamp, outdeparture = row['timestamp'], row['flight.outboundSegments.departure']
-    outdt = dt.datetime.fromisoformat(outdeparture.split('|')[0])
+    outdt = fromisoformat(outdeparture.split('|')[0])
     return (outdt - tstamp).days
 
 def preprocess_data(df):