Olejniczak 1991

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   54  0.2558  0.0054  0.1035  0.1043  0.0546  0.07
Ashkenazy 1981   52  0.2813  0.0051  0.0937  0.0939  0.0741  0.08
Beliavsky 2004   62  0.0464  0.0061  0.0361  0.0360  0.0363  0.03
BenOr 1989   7  0.506  0.009  0.209  0.6322  0.549  0.58
Biret 1990   16  0.4310  0.0017  0.0919  0.3123  0.2322  0.27
Blet 2003   4  0.547  0.004  0.403  0.796  0.713  0.75
Block 1995   29  0.3817  0.0020  0.0921  0.2826  0.1826  0.22
Brailowsky 1960   14  0.4539  0.0016  0.1815  0.4129  0.3215  0.36
Chiu 1999   50  0.2928  0.0048  0.0652  0.0635  0.0749  0.06
Clidat 1994   41  0.3459  0.0043  0.0654  0.0640  0.0751  0.06
Cohen 1997   60  0.1652  0.0059  0.0460  0.0448  0.0657  0.05
Coop 1987   6  0.5211  0.006  0.275  0.739  0.585  0.65
Cortot 1951   61  0.0963  0.0063  0.0263  0.0263  0.0265  0.02
Czerny 1949   42  0.3455  0.0034  0.0845  0.0835  0.1138  0.09
Czerny 1949b   47  0.3160  0.0046  0.0841  0.0837  0.0745  0.07
Ezaki 2006   28  0.3927  0.0022  0.0722  0.2726  0.4416  0.34
Falvay 1989   15  0.4425  0.0013  0.2813  0.5312  0.5711  0.55
Ferenczy 1958   13  0.4631  0.005  0.288  0.6411  0.646  0.64
Fiorentino 1962   2  0.802  0.182  0.902  0.962  0.952  0.95
Fliere 1977   22  0.4023  0.0030  0.0729  0.1916  0.4420  0.29
Fou 1978   24  0.4014  0.0026  0.0724  0.2430  0.3321  0.28
Francois 1956   53  0.2761  0.0053  0.0938  0.0952  0.0454  0.06
Hatto 1997   40  0.3416  0.0041  0.0843  0.0836  0.1037  0.09
Horowitz 1971   34  0.3653  0.0035  0.0939  0.0939  0.0742  0.08
Horowitz 1985   37  0.3557  0.0036  0.1233  0.1244  0.0834  0.10
Indjic 2001   43  0.3445  0.0042  0.0844  0.0843  0.0840  0.08
Kapell 1951   35  0.3665  0.0040  0.1036  0.1036  0.0836  0.09
Kiepura 1999   27  0.3950  0.0032  0.0632  0.1236  0.0639  0.08
Kilenyi 1937   12  0.4743  0.008  0.2010  0.6211  0.617  0.61
Kissin 1993   55  0.2212  0.0058  0.0557  0.0554  0.0458  0.04
Kitain 1937   59  0.1648  0.0060  0.0653  0.0658  0.0360  0.04
Kushner 1990   18  0.4118  0.0018  0.1018  0.3633  0.1425  0.22
Levy 1951   36  0.3556  0.0044  0.0655  0.0635  0.0844  0.07
Luisada 1990   19  0.4134  0.0024  0.0826  0.2215  0.5118  0.33
Lushtak 2004   51  0.2854  0.0050  0.0940  0.0957  0.0452  0.06
Lympany 1968   48  0.3162  0.0047  0.0651  0.0649  0.0555  0.05
Magaloff 1977   56  0.2230  0.0056  0.0656  0.0643  0.0556  0.05
Magaloff 1977b   58  0.2032  0.0055  0.0558  0.0550  0.0459  0.04
Magin 1975   3  0.553  0.013  0.296  0.718  0.664  0.68
Milkina 1970   33  0.3719  0.0014  0.1317  0.3643  0.0629  0.15
Mohovich 1999   20  0.4140  0.0031  0.0731  0.1520  0.4224  0.25
Nadelmann 1956   11  0.4726  0.0015  0.1314  0.4734  0.0827  0.19
Ohlsson 1999   23  0.408  0.0028  0.0725  0.2236  0.0632  0.11
Olejniczac 1990   1  0.821  0.771  0.761  0.972  0.961  0.96
Olejniczak 1991   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Osinska 1989   5  0.535  0.007  0.164  0.7621  0.448  0.58
Paderewski 1912   46  0.3137  0.0052  0.1134  0.1145  0.0447  0.07
Perahia 1994   49  0.3044  0.0049  0.0848  0.0852  0.0553  0.06
Perlemuter 1986   9  0.484  0.0012  0.2012  0.5917  0.3813  0.47
Poblocka 1999   38  0.3515  0.0037  0.0842  0.0842  0.0643  0.07
Rangell 2001   57  0.2146  0.0057  0.0459  0.0459  0.0461  0.04
Risler 1920   44  0.3420  0.0039  0.0750  0.0715  0.3428  0.15
Rosen 1989   25  0.4041  0.0023  0.0823  0.2721  0.5714  0.39
Rubinstein 1939   45  0.3342  0.0045  0.0846  0.0853  0.0450  0.06
Rubinstein 1952   10  0.4833  0.0010  0.2711  0.6012  0.5610  0.58
Rubinstein 1966   8  0.4935  0.0011  0.297  0.6521  0.3912  0.50
Rummel 1943   31  0.3829  0.0038  0.0749  0.0733  0.0748  0.07
Shebanova 2002   32  0.3722  0.0025  0.0728  0.2042  0.0731  0.12
Smith 1975   30  0.3849  0.0027  0.0827  0.2134  0.0730  0.12
Szpilman 1948   21  0.4024  0.0029  0.0630  0.1723  0.4023  0.26
Uninsky 1971   39  0.3547  0.0033  0.0847  0.0832  0.1335  0.10
Wasowski 1980   17  0.4251  0.0019  0.1316  0.3822  0.2817  0.33
Weissenberg 1971   26  0.399  0.0021  0.0920  0.3121  0.3019  0.30
Random 1    65  0.0138  0.0065  0.0265  0.0239  0.0562  0.03
Random 2   63  0.0336  0.0062  0.0362  0.0314  0.3933  0.11
Random 3   64  0.0321  0.0064  0.0264  0.0240  0.0664  0.03

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).