Average

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   6  0.8263  0.0013  0.1110  0.591  0.8412  0.70
Anderszewski 2003   14  0.8026  0.0032  0.0929  0.351  0.8229  0.54
Ashkenazy 1981   38  0.7545  0.0040  0.0840  0.221  0.7940  0.42
Bacha 2000   63  0.6671  0.0062  0.0465  0.041  0.7269  0.17
Badura 1965   54  0.6915  0.0152  0.0752  0.071  0.7753  0.23
Barbosa 1983   67  0.6535  0.0055  0.0561  0.051  0.7857  0.20
Biret 1990   22  0.7821  0.0119  0.1019  0.521  0.8420  0.66
Blet 2003   60  0.6777  0.0065  0.0754  0.071  0.7352  0.23
Block 1995   68  0.6467  0.0053  0.0656  0.061  0.7955  0.22
Blumental 1952   33  0.7648  0.0028  0.0727  0.391  0.8427  0.57
Boshniakovich 1969   19  0.794  0.047  0.1320  0.511  0.8519  0.66
Brailowsky 1960   61  0.6731  0.0067  0.0470  0.042  0.7864  0.18
Bunin 1987   84  0.5783  0.0075  0.0383  0.032  0.5885  0.13
Bunin 1987b   87  0.5585  0.0076  0.0382  0.032  0.5883  0.13
Chiu 1999   53  0.7068  0.0058  0.0562  0.051  0.7659  0.19
Cohen 1997   88  0.5242  0.0087  0.0471  0.041  0.6273  0.16
Cortot 1951   71  0.6372  0.0073  0.0379  0.031  0.7677  0.15
Csalog 1996   76  0.5930  0.0063  0.0468  0.043  0.6872  0.16
Czerny 1949   21  0.7913  0.0122  0.0817  0.542  0.8118  0.66
Czerny 1990   4  0.8329  0.0014  0.1111  0.581  0.8910  0.72
Duchoud 2007   79  0.5887  0.0078  0.0288  0.022  0.6988  0.12
Ezaki 2006   11  0.8150  0.0030  0.0728  0.361  0.8628  0.56
Falvay 1989   55  0.6925  0.0066  0.0559  0.051  0.7160  0.19
Farrell 1958   44  0.7240  0.0042  0.0839  0.231  0.8339  0.44
Ferenczy 1958   65  0.6658  0.0068  0.0375  0.032  0.6482  0.14
Fliere 1977   1  0.871  0.371  0.372  0.741  0.892  0.81
Fou 1978   17  0.7947  0.0023  0.0921  0.481  0.8521  0.64
Francois 1956   64  0.6638  0.0064  0.0464  0.041  0.7868  0.18
Friedman 1923   49  0.7165  0.0059  0.0655  0.063  0.7756  0.21
Friedman 1923b   48  0.7136  0.0057  0.0753  0.073  0.7754  0.23
Friedman 1930   45  0.7259  0.0060  0.0557  0.053  0.7462  0.19
Garcia 2007   58  0.6873  0.0061  0.0563  0.052  0.7663  0.19
Garcia 2007b   50  0.7154  0.0044  0.0643  0.142  0.7844  0.33
Gierzod 1998   2  0.852  0.152  0.351  0.801  0.911  0.85
Gornostaeva 1994   37  0.7578  0.0045  0.0745  0.131  0.8643  0.33
Groot 1988   59  0.687  0.0325  0.0836  0.271  0.7838  0.46
Harasiewicz 1955   3  0.833  0.083  0.163  0.671  0.875  0.76
Hatto 1993   24  0.7816  0.0111  0.1616  0.553  0.8217  0.67
Hatto 1997   18  0.7917  0.0110  0.1015  0.553  0.8415  0.68
Horowitz 1949   70  0.6384  0.0079  0.0287  0.021  0.7386  0.12
Indjic 1988   16  0.795  0.048  0.1314  0.563  0.8314  0.68
Kapell 1951   29  0.768  0.0312  0.1022  0.461  0.8622  0.63
Kissin 1993   10  0.8114  0.0121  0.1512  0.571  0.8711  0.70
Kushner 1989   7  0.8210  0.0215  0.129  0.611  0.896  0.74
Luisada 1991   23  0.7827  0.0034  0.0735  0.281  0.8534  0.49
Lushtak 2004   35  0.7564  0.0037  0.0738  0.251  0.8537  0.46
Malcuzynski 1961   57  0.6828  0.0051  0.0751  0.071  0.7951  0.24
Magaloff 1978   47  0.7149  0.0043  0.0744  0.131  0.7645  0.31
Magin 1975   20  0.7924  0.0017  0.107  0.621  0.848  0.72
Michalowski 1933   74  0.6266  0.0072  0.0380  0.032  0.7081  0.14
Milkina 1970   8  0.8219  0.019  0.134  0.661  0.893  0.77
Mohovich 1999   39  0.7539  0.0036  0.0637  0.251  0.8736  0.47
Moravec 1969   69  0.6444  0.0070  0.0377  0.032  0.7674  0.15
Morozova 2008   32  0.7651  0.0035  0.0733  0.311  0.8233  0.50
Neighaus 1950   40  0.7460  0.0047  0.0849  0.081  0.7750  0.25
Niedzielski 1931   56  0.6852  0.0054  0.0560  0.051  0.6961  0.19
Ohlsson 1999   27  0.7620  0.0124  0.0924  0.441  0.8423  0.61
Osinska 1989   5  0.8311  0.016  0.145  0.651  0.884  0.76
Pachmann 1927   80  0.5888  0.0088  0.0466  0.042  0.6171  0.16
Paderewski 1930   78  0.5979  0.0080  0.0384  0.031  0.7476  0.15
Perlemuter 1992   51  0.7080  0.0056  0.0558  0.051  0.7558  0.19
Pierdomenico 2008   86  0.5681  0.0081  0.0381  0.031  0.7079  0.14
Poblocka 1999   34  0.7555  0.0033  0.1326  0.411  0.8325  0.58
Rabcewiczowa 1932   42  0.7222  0.0026  0.0831  0.321  0.7831  0.50
Rachmaninoff 1923   28  0.766  0.0316  0.0823  0.451  0.7626  0.58
Rangell 2001   83  0.5753  0.0074  0.0473  0.041  0.7570  0.17
Richter 1976   66  0.6532  0.0069  0.0374  0.031  0.7875  0.15
Rosen 1989   25  0.7843  0.0031  0.0925  0.431  0.8324  0.60
Rosenthal 1930   73  0.6274  0.0077  0.0286  0.026  0.7984  0.13
Rosenthal 1931   81  0.5882  0.0084  0.0285  0.025  0.7587  0.12
Rosenthal 1931b   82  0.5857  0.0085  0.0472  0.045  0.7766  0.18
Rosenthal 1931c   75  0.6075  0.0071  0.0467  0.045  0.7967  0.18
Rosenthal 1931d   85  0.5776  0.0086  0.0469  0.045  0.7865  0.18
Rossi 2007   72  0.6289  0.0082  0.0376  0.032  0.6678  0.14
Rubinstein 1939   43  0.7269  0.0050  0.0850  0.081  0.7949  0.25
Rubinstein 1952   62  0.6618  0.0127  0.0741  0.212  0.7842  0.40
Rubinstein 1966   26  0.7733  0.0029  0.0730  0.331  0.8230  0.52
Schilhawsky 1960   31  0.7637  0.0039  0.0732  0.321  0.7932  0.50
Shebanova 2002   12  0.8112  0.015  0.156  0.631  0.857  0.73
Smith 1975   36  0.7546  0.0046  0.0948  0.091  0.8447  0.27
Sokolov 2002   52  0.7041  0.0048  0.0946  0.091  0.8346  0.27
Sztompka 1959   9  0.829  0.024  0.128  0.611  0.849  0.72
Tomsic 1995   77  0.5956  0.0083  0.0378  0.035  0.6480  0.14
Uninsky 1932   46  0.7170  0.0049  0.0947  0.092  0.7448  0.26
Uninsky 1971   41  0.7261  0.0038  0.0834  0.282  0.8035  0.47
Wasowski 1980   30  0.7662  0.0041  0.0742  0.201  0.8341  0.41
Zak 1937   13  0.8023  0.0020  0.1418  0.532  0.8416  0.67
Zak 1951   15  0.8034  0.0018  0.1213  0.562  0.8413  0.69
Average   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 1   91  -0.1486  0.0091  0.0191  0.0169  0.0390  0.02
Random 2   89  -0.0790  0.0089  0.0189  0.0178  0.0389  0.02
Random 3   90  -0.1191  0.0090  0.0190  0.0151  0.0491  0.02

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).