Luisada 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   52  0.6155  0.0049  0.0645  0.0651  0.0558  0.05
Ashkenazy 1981   24  0.7013  0.0134  0.0650  0.0651  0.0653  0.06
Beliavsky 2004   46  0.6522  0.0042  0.0934  0.0921  0.2726  0.16
BenOr 1989   15  0.7316  0.0119  0.1017  0.4235  0.0922  0.19
Biret 1990   49  0.6330  0.0044  0.0739  0.0738  0.0745  0.07
Blet 2003   23  0.7120  0.0015  0.1514  0.4810  0.498  0.48
Block 1995   32  0.6941  0.0027  0.1227  0.2622  0.3814  0.31
Brailowsky 1960   51  0.6329  0.0054  0.0647  0.0626  0.2535  0.12
Chiu 1999   29  0.6952  0.0021  0.0724  0.2840  0.0729  0.14
Clidat 1994   34  0.6833  0.0041  0.0741  0.0746  0.0649  0.06
Cohen 1997   61  0.4165  0.0062  0.0653  0.0657  0.0460  0.05
Coop 1987   18  0.7256  0.0013  0.1115  0.4654  0.0527  0.15
Cortot 1951   58  0.5362  0.0061  0.0559  0.0541  0.0754  0.06
Czerny 1949   8  0.742  0.312  0.333  0.6310  0.526  0.57
Czerny 1949b   5  0.758  0.023  0.274  0.6212  0.562  0.59
Ezaki 2006   10  0.7350  0.0014  0.1113  0.4839  0.0820  0.20
Falvay 1989   17  0.7232  0.0010  0.1211  0.4931  0.1715  0.29
Ferenczy 1958   60  0.4857  0.0058  0.0461  0.0456  0.0561  0.04
Fiorentino 1962   3  0.757  0.026  0.136  0.5910  0.584  0.58
Fliere 1977   20  0.7154  0.0024  0.0926  0.2645  0.0732  0.13
Fou 1978   6  0.7523  0.0011  0.139  0.5423  0.2612  0.37
Francois 1956   41  0.6634  0.0047  0.0654  0.0630  0.1441  0.09
Hatto 1997   57  0.5763  0.0055  0.0646  0.0649  0.0648  0.06
Horowitz 1971   37  0.6727  0.0036  0.0652  0.0628  0.2436  0.12
Horowitz 1985   56  0.576  0.0257  0.0835  0.0823  0.3723  0.17
Indjic 2001   55  0.5848  0.0056  0.0643  0.0638  0.0751  0.06
Kapell 1951   30  0.6951  0.0028  0.0728  0.1639  0.0737  0.11
Kiepura 1999   12  0.7318  0.0017  0.1119  0.3812  0.519  0.44
Kilenyi 1937   9  0.7449  0.009  0.2210  0.5226  0.3211  0.41
Kissin 1993   7  0.753  0.094  0.197  0.5952  0.0524  0.17
Kitain 1937   62  0.3939  0.0059  0.0363  0.0342  0.0663  0.04
Kushner 1990   36  0.6837  0.0031  0.0730  0.1439  0.0738  0.10
Levy 1951   53  0.5835  0.0053  0.0648  0.0653  0.0555  0.05
Luisada 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Lushtak 2004   35  0.6847  0.0040  0.0556  0.0553  0.0559  0.05
Lympany 1968   48  0.6342  0.0048  0.0651  0.0644  0.0746  0.06
Magaloff 1977   16  0.7245  0.0020  0.1418  0.3914  0.4710  0.43
Magaloff 1977b   22  0.7140  0.0023  0.0822  0.3115  0.4013  0.35
Magin 1975   1  0.791  0.321  0.311  0.7315  0.541  0.63
Milkina 1970   50  0.6326  0.0052  0.0649  0.0653  0.0557  0.05
Mohovich 1999   47  0.6458  0.0050  0.0836  0.0853  0.0552  0.06
Nadelmann 1956   31  0.699  0.0130  0.0631  0.1329  0.1433  0.13
Ohlsson 1999   21  0.7119  0.0032  0.0632  0.1329  0.1630  0.14
Olejniczac 1990   4  0.7521  0.008  0.225  0.6010  0.563  0.58
Olejniczak 1991   11  0.7343  0.0018  0.1116  0.4330  0.1418  0.25
Osinska 1989   2  0.7610  0.017  0.162  0.6838  0.0917  0.25
Paderewski 1912   40  0.6624  0.0039  0.0555  0.0535  0.0850  0.06
Perahia 1994   59  0.5160  0.0060  0.0460  0.0454  0.0462  0.04
Perlemuter 1986   33  0.6838  0.0043  0.1233  0.1237  0.0739  0.09
Poblocka 1999   13  0.7315  0.0116  0.0925  0.2727  0.2019  0.23
Rangell 2001   27  0.694  0.0522  0.0721  0.3328  0.2516  0.29
Risler 1920   14  0.7312  0.015  0.158  0.558  0.605  0.57
Rosen 1989   44  0.6536  0.0045  0.0837  0.0831  0.2928  0.15
Rubinstein 1939   54  0.5817  0.0138  0.0557  0.0553  0.0556  0.05
Rubinstein 1952   26  0.6911  0.0126  0.0923  0.3032  0.1025  0.17
Rubinstein 1966   38  0.675  0.0429  0.0629  0.1628  0.2221  0.19
Rummel 1943   42  0.6628  0.0046  0.0558  0.0513  0.3234  0.13
Shebanova 2002   25  0.7031  0.0025  0.0920  0.3341  0.0631  0.14
Smith 1975   28  0.6946  0.0035  0.0740  0.0732  0.1043  0.08
Szpilman 1948   19  0.7225  0.0012  0.1112  0.4921  0.487  0.48
Uninsky 1971   45  0.6544  0.0037  0.0742  0.0750  0.0547  0.06
Wasowski 1980   43  0.6614  0.0151  0.0644  0.0632  0.1242  0.08
Weissenberg 1971   39  0.6661  0.0033  0.0738  0.0734  0.0844  0.07
Random 1    64  -0.0559  0.0064  0.0264  0.0250  0.0365  0.02
Random 2   63  0.0453  0.0063  0.0462  0.0426  0.2140  0.09
Random 3   65  -0.0664  0.0065  0.0265  0.0238  0.0564  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).