Czerny 1949b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   46  0.3015  0.0043  0.0550  0.0526  0.1835  0.09
Ashkenazy 1981   60  0.2064  0.0061  0.0551  0.0563  0.0361  0.04
Beliavsky 2004   43  0.3158  0.0023  0.0832  0.1822  0.2624  0.22
BenOr 1989   38  0.3136  0.0048  0.0933  0.0944  0.0737  0.08
Biret 1990   37  0.3149  0.0040  0.0739  0.0755  0.0547  0.06
Blet 2003   58  0.2153  0.0054  0.0456  0.0454  0.0558  0.04
Block 1995   23  0.3959  0.0028  0.0926  0.3034  0.0829  0.15
Brailowsky 1960   11  0.4550  0.009  0.119  0.6324  0.4014  0.50
Chiu 1999   32  0.3630  0.0024  0.0825  0.3019  0.3820  0.34
Clidat 1994   13  0.4537  0.0014  0.138  0.6311  0.488  0.55
Cohen 1997   62  0.1160  0.0062  0.0461  0.0460  0.0265  0.03
Coop 1987   36  0.326  0.0042  0.0547  0.0551  0.0550  0.05
Cortot 1951   7  0.4845  0.0010  0.1018  0.464  0.757  0.59
Czerny 1949   1  0.841  0.951  0.941  0.971  0.971  0.97
Czerny 1949b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ezaki 2006   15  0.4461  0.0017  0.1711  0.6124  0.4810  0.54
Falvay 1989   51  0.2857  0.0034  0.0736  0.0757  0.0448  0.05
Ferenczy 1958   47  0.3026  0.0045  0.0738  0.0733  0.1234  0.09
Fiorentino 1962   22  0.3947  0.0027  0.0921  0.3327  0.3223  0.32
Fliere 1977   45  0.3031  0.0036  0.0835  0.0853  0.0541  0.06
Fou 1978   5  0.4918  0.005  0.355  0.736  0.684  0.70
Francois 1956   56  0.2455  0.0060  0.0554  0.0555  0.0462  0.04
Hatto 1997   55  0.2629  0.0050  0.0458  0.0457  0.0363  0.03
Horowitz 1971   6  0.4840  0.006  0.1910  0.636  0.566  0.59
Horowitz 1985   21  0.4048  0.0016  0.1815  0.5511  0.4912  0.52
Indjic 2001   57  0.2443  0.0056  0.0457  0.0456  0.0364  0.03
Kapell 1951   52  0.2819  0.0052  0.0553  0.0537  0.0843  0.06
Kiepura 1999   2  0.547  0.004  0.362  0.804  0.663  0.73
Kilenyi 1937   27  0.3711  0.0029  0.0727  0.2848  0.0730  0.14
Kissin 1993   3  0.535  0.003  0.323  0.763  0.722  0.74
Kitain 1937   20  0.4117  0.0025  0.0931  0.247  0.6018  0.38
Kushner 1990   44  0.3024  0.0047  0.0834  0.0854  0.0444  0.06
Levy 1951   33  0.3625  0.0020  0.1123  0.3121  0.3521  0.33
Luisada 1990   14  0.4427  0.0018  0.2214  0.5512  0.569  0.55
Lushtak 2004   19  0.4222  0.0021  0.0824  0.3137  0.0827  0.16
Lympany 1968   35  0.3554  0.0041  0.0552  0.0554  0.0455  0.04
Magaloff 1977   42  0.3114  0.0051  0.0555  0.0547  0.0459  0.04
Magaloff 1977b   40  0.3128  0.0049  0.0548  0.0544  0.0553  0.05
Magin 1975   4  0.513  0.012  0.344  0.7510  0.625  0.68
Milkina 1970   41  0.3144  0.0046  0.0643  0.0659  0.0449  0.05
Mohovich 1999   61  0.2038  0.0059  0.0362  0.0352  0.0560  0.04
Nadelmann 1956   12  0.452  0.018  0.166  0.6522  0.2217  0.38
Ohlsson 1999   54  0.2656  0.0053  0.0459  0.0453  0.0557  0.04
Olejniczac 1990   24  0.3841  0.0032  0.1329  0.2539  0.0928  0.15
Olejniczak 1991   39  0.3162  0.0039  0.0737  0.0741  0.0839  0.07
Osinska 1989   17  0.4321  0.0015  0.1516  0.5538  0.0725  0.20
Paderewski 1912   26  0.388  0.0026  0.0720  0.3316  0.3422  0.33
Perahia 1994   18  0.4339  0.0022  0.0919  0.3735  0.0926  0.18
Perlemuter 1986   53  0.2746  0.0058  0.0646  0.0651  0.0551  0.05
Poblocka 1999   8  0.4712  0.0013  0.1212  0.5916  0.4513  0.52
Rangell 2001   49  0.2933  0.0057  0.0640  0.0646  0.0554  0.05
Risler 1920   50  0.2951  0.0044  0.0549  0.0526  0.1932  0.10
Rosen 1989   34  0.3516  0.0019  0.1022  0.3324  0.5416  0.42
Rubinstein 1939   16  0.4413  0.0011  0.1017  0.4623  0.2819  0.36
Rubinstein 1952   28  0.3723  0.0030  0.0930  0.2548  0.0433  0.10
Rubinstein 1966   25  0.3835  0.0031  0.1028  0.2748  0.0531  0.12
Rummel 1943   29  0.369  0.0037  0.0644  0.0650  0.0452  0.05
Shebanova 2002   9  0.4720  0.007  0.207  0.6421  0.4611  0.54
Smith 1975   30  0.3642  0.0038  0.0641  0.0641  0.0642  0.06
Szpilman 1948   48  0.2952  0.0035  0.0645  0.0640  0.0838  0.07
Uninsky 1971   31  0.3632  0.0033  0.0642  0.0645  0.0645  0.06
Wasowski 1980   10  0.4734  0.0012  0.1313  0.5618  0.3515  0.44
Weissenberg 1971   59  0.2163  0.0055  0.0460  0.0458  0.0556  0.04
Random 1    65  0.0065  0.0064  0.0264  0.0215  0.2936  0.08
Random 2   64  0.014  0.0063  0.0263  0.0226  0.2540  0.07
Random 3   63  0.0710  0.0065  0.0265  0.0224  0.2146  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).