Czerny 1949b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   47  0.6343  0.0042  0.0842  0.0825  0.2637  0.14
Ashkenazy 1981   6  0.7524  0.008  0.186  0.6815  0.495  0.58
Beliavsky 2004   41  0.6554  0.0049  0.0746  0.0735  0.0745  0.07
BenOr 1989   11  0.7256  0.0019  0.0921  0.4754  0.0536  0.15
Biret 1990   42  0.6453  0.0036  0.1134  0.1157  0.0548  0.07
Blet 2003   54  0.5920  0.0050  0.0653  0.0652  0.0559  0.05
Block 1995   40  0.6525  0.0038  0.0937  0.0935  0.1043  0.09
Brailowsky 1960   53  0.5957  0.0057  0.0745  0.0752  0.0549  0.06
Chiu 1999   35  0.6742  0.0031  0.0927  0.3031  0.2228  0.26
Clidat 1994   36  0.6635  0.0037  0.1036  0.1040  0.0644  0.08
Cohen 1997   62  0.4546  0.0062  0.0657  0.0651  0.0562  0.05
Coop 1987   13  0.7132  0.0011  0.1413  0.5931  0.2324  0.37
Cortot 1951   43  0.6418  0.0048  0.0650  0.069  0.5232  0.18
Czerny 1949   1  0.861  0.871  0.851  0.911  0.901  0.90
Czerny 1949b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ezaki 2006   9  0.7437  0.009  0.1812  0.6027  0.3715  0.47
Falvay 1989   33  0.6717  0.0033  0.0938  0.0931  0.1740  0.12
Ferenczy 1958   56  0.5851  0.0056  0.0560  0.0547  0.0660  0.05
Fiorentino 1962   19  0.7033  0.0016  0.1510  0.6221  0.458  0.53
Fliere 1977   3  0.766  0.014  0.212  0.759  0.592  0.67
Fou 1978   7  0.747  0.015  0.244  0.7314  0.534  0.62
Francois 1956   60  0.5459  0.0061  0.0658  0.0642  0.0654  0.06
Hatto 1997   46  0.6411  0.0044  0.0841  0.0832  0.1442  0.11
Horowitz 1971   52  0.5910  0.0053  0.0559  0.0552  0.0463  0.04
Horowitz 1985   58  0.562  0.0247  0.0651  0.0610  0.4933  0.17
Indjic 2001   45  0.6441  0.0043  0.0744  0.0741  0.0747  0.07
Kapell 1951   21  0.7039  0.0013  0.1014  0.5530  0.2721  0.39
Kiepura 1999   32  0.6816  0.0040  0.0743  0.0726  0.3134  0.15
Kilenyi 1937   8  0.7421  0.007  0.238  0.6620  0.507  0.57
Kissin 1993   10  0.7345  0.006  0.209  0.6628  0.2419  0.40
Kitain 1937   61  0.4550  0.0060  0.0462  0.0436  0.0953  0.06
Kushner 1990   55  0.5964  0.0052  0.0656  0.0659  0.0457  0.05
Levy 1951   26  0.6912  0.0021  0.1016  0.528  0.636  0.57
Luisada 1990   12  0.7229  0.0020  0.1122  0.4619  0.5014  0.48
Lushtak 2004   20  0.705  0.0125  0.1024  0.408  0.5913  0.49
Lympany 1968   50  0.6158  0.0051  0.0652  0.0646  0.0555  0.05
Magaloff 1977   14  0.7123  0.0022  0.0917  0.5026  0.3418  0.41
Magaloff 1977b   15  0.719  0.0123  0.1419  0.4822  0.3616  0.42
Magin 1975   4  0.764  0.012  0.195  0.7117  0.623  0.66
Milkina 1970   48  0.6247  0.0055  0.0648  0.0657  0.0456  0.05
Mohovich 1999   44  0.6462  0.0045  0.0747  0.0748  0.0551  0.06
Nadelmann 1956   34  0.6719  0.0026  0.1023  0.4212  0.4017  0.41
Ohlsson 1999   28  0.6830  0.0034  0.1035  0.1021  0.3331  0.18
Olejniczac 1990   18  0.7149  0.0015  0.1211  0.6126  0.3912  0.49
Olejniczak 1991   22  0.7044  0.0017  0.0820  0.4726  0.3220  0.39
Osinska 1989   2  0.7615  0.003  0.213  0.7327  0.379  0.52
Paderewski 1912   30  0.6814  0.0027  0.1126  0.318  0.4622  0.38
Perahia 1994   59  0.5552  0.0059  0.0649  0.0654  0.0561  0.05
Perlemuter 1986   57  0.5760  0.0058  0.0561  0.0540  0.0658  0.05
Poblocka 1999   5  0.7522  0.0010  0.277  0.6728  0.4110  0.52
Rangell 2001   31  0.6855  0.0032  0.1331  0.2528  0.2429  0.24
Risler 1920   51  0.6140  0.0041  0.0840  0.0831  0.2138  0.13
Rosen 1989   49  0.6227  0.0054  0.0654  0.0641  0.0650  0.06
Rubinstein 1939   39  0.653  0.0112  0.1329  0.2610  0.5323  0.37
Rubinstein 1952   23  0.7013  0.0029  0.0930  0.2628  0.2230  0.24
Rubinstein 1966   38  0.6531  0.0039  0.0839  0.0838  0.0646  0.07
Rummel 1943   37  0.6526  0.0046  0.0655  0.0626  0.2641  0.12
Shebanova 2002   29  0.6838  0.0035  0.1333  0.1331  0.1439  0.13
Smith 1975   25  0.6936  0.0030  0.1228  0.2740  0.0835  0.15
Szpilman 1948   24  0.7028  0.0018  0.1015  0.5318  0.4711  0.50
Uninsky 1971   17  0.718  0.0124  0.1125  0.3828  0.2826  0.33
Wasowski 1980   16  0.7134  0.0028  0.0932  0.2425  0.3927  0.31
Weissenberg 1971   27  0.6848  0.0014  0.0818  0.4932  0.2525  0.35
Random 1    65  -0.0363  0.0064  0.0264  0.0237  0.0564  0.03
Random 2   63  0.0061  0.0063  0.0363  0.0352  0.0365  0.03
Random 3   64  -0.0265  0.0065  0.0265  0.0226  0.1652  0.06
Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).