Average

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   57  0.5986  0.0062  0.0563  0.051  0.7361  0.19
Anderszewski 2003   21  0.7126  0.0022  0.2118  0.591  0.8618  0.71
Ashkenazy 1981   58  0.5949  0.0066  0.0466  0.041  0.7271  0.17
Bacha 2000   67  0.5575  0.0067  0.0473  0.041  0.7665  0.17
Badura 1965   64  0.5738  0.0053  0.0558  0.051  0.7362  0.19
Barbosa 1983   15  0.7429  0.0018  0.1015  0.661  0.8714  0.76
Biret 1990   11  0.7410  0.0210  0.1610  0.701  0.8711  0.78
Blet 2003   61  0.5866  0.0063  0.0464  0.041  0.7567  0.17
Block 1995   65  0.5741  0.0055  0.0557  0.053  0.7463  0.19
Blumental 1952   31  0.6927  0.0030  0.1028  0.441  0.8527  0.61
Boshniakovich 1969   22  0.7111  0.0111  0.1616  0.651  0.8716  0.75
Brailowsky 1960   48  0.6325  0.0043  0.0744  0.152  0.7544  0.34
Bunin 1987   54  0.6056  0.0054  0.0559  0.052  0.8058  0.20
Bunin 1987b   63  0.5857  0.0056  0.0561  0.052  0.7957  0.20
Chiu 1999   59  0.5963  0.0060  0.0753  0.071  0.7654  0.23
Cohen 1997   78  0.5154  0.0077  0.0472  0.041  0.7172  0.17
Cortot 1951   83  0.4567  0.0081  0.0387  0.037  0.6487  0.14
Csalog 1996   46  0.6428  0.0034  0.0737  0.232  0.7837  0.42
Czerny 1949   24  0.7121  0.0116  0.1322  0.532  0.8422  0.67
Czerny 1990   9  0.7618  0.0112  0.186  0.731  0.896  0.81
Duchoud 2007   86  0.4483  0.0084  0.0382  0.033  0.6684  0.14
Ezaki 2006   12  0.7422  0.0117  0.1019  0.591  0.8121  0.69
Falvay 1989   6  0.779  0.0214  0.198  0.711  0.888  0.79
Farrell 1958   52  0.6164  0.0046  0.0752  0.071  0.8453  0.24
Ferenczy 1958   62  0.5850  0.0068  0.0474  0.043  0.7569  0.17
Fliere 1977   7  0.774  0.104  0.207  0.711  0.887  0.79
Fou 1978   17  0.7231  0.0026  0.1025  0.461  0.8624  0.63
Francois 1956   74  0.5234  0.0070  0.0379  0.031  0.7380  0.15
Friedman 1923   80  0.5030  0.0075  0.0560  0.053  0.7960  0.20
Friedman 1923b   79  0.5020  0.0171  0.0380  0.033  0.7779  0.15
Friedman 1930   72  0.5335  0.0065  0.0465  0.044  0.7468  0.17
Garcia 2007   81  0.5084  0.0076  0.0468  0.043  0.6877  0.16
Garcia 2007b   60  0.5946  0.0039  0.0839  0.222  0.7740  0.41
Gierzod 1998   1  0.812  0.112  0.243  0.781  0.912  0.84
Gornostaeva 1994   30  0.7058  0.0029  0.1030  0.431  0.8529  0.60
Groot 1988   47  0.647  0.0324  0.1226  0.451  0.8030  0.60
Harasiewicz 1955   8  0.776  0.0313  0.199  0.701  0.899  0.79
Hatto 1993   16  0.7345  0.009  0.1412  0.683  0.8813  0.77
Hatto 1997   13  0.7415  0.018  0.1411  0.693  0.8910  0.78
Horowitz 1949   82  0.4587  0.0085  0.0477  0.044  0.6274  0.16
Indjic 1988   14  0.745  0.087  0.1513  0.683  0.8812  0.77
Kapell 1951   25  0.7116  0.0127  0.1124  0.471  0.8325  0.62
Kissin 1993   38  0.6719  0.0149  0.0849  0.081  0.8149  0.25
Kushner 1989   4  0.783  0.113  0.164  0.781  0.894  0.83
Luisada 1991   42  0.6532  0.0052  0.0751  0.071  0.8051  0.24
Lushtak 2004   27  0.7039  0.0020  0.1220  0.581  0.8520  0.70
Malcuzynski 1961   18  0.7243  0.0019  0.1117  0.641  0.8617  0.74
Magaloff 1978   29  0.7042  0.0036  0.0834  0.341  0.8434  0.53
Magin 1975   20  0.7217  0.0125  0.1029  0.441  0.8328  0.60
Michalowski 1933   88  0.3459  0.0088  0.0470  0.043  0.6276  0.16
Milkina 1970   2  0.791  0.281  0.281  0.811  0.911  0.86
Mohovich 1999   23  0.7124  0.0121  0.1421  0.581  0.8619  0.71
Moravec 1969   36  0.6772  0.0044  0.1140  0.211  0.7938  0.41
Morozova 2008   43  0.6451  0.0041  0.0742  0.201  0.8041  0.40
Neighaus 1950   73  0.5376  0.0079  0.0385  0.032  0.6786  0.14
Niedzielski 1931   84  0.4588  0.0083  0.0381  0.031  0.5488  0.13
Ohlsson 1999   45  0.6437  0.0045  0.0745  0.141  0.8345  0.34
Osinska 1989   5  0.778  0.026  0.182  0.781  0.883  0.83
Pachmann 1927   85  0.4470  0.0087  0.0471  0.045  0.6275  0.16
Paderewski 1930   87  0.3677  0.0086  0.0386  0.034  0.6383  0.14
Perlemuter 1992   75  0.5180  0.0082  0.0378  0.031  0.6581  0.14
Pierdomenico 2008   76  0.5185  0.0080  0.0384  0.031  0.7378  0.15
Poblocka 1999   28  0.7052  0.0033  0.0732  0.361  0.8432  0.55
Rabcewiczowa 1932   44  0.6413  0.0123  0.1823  0.511  0.8023  0.64
Rachmaninoff 1923   56  0.5973  0.0042  0.0738  0.221  0.7739  0.41
Rangell 2001   55  0.6055  0.0061  0.0755  0.071  0.7855  0.23
Richter 1976   39  0.6614  0.0148  0.0848  0.081  0.7948  0.25
Rosen 1989   34  0.6860  0.0040  0.0641  0.201  0.8142  0.40
Rosenthal 1930   66  0.5668  0.0069  0.0476  0.047  0.7370  0.17
Rosenthal 1931   68  0.5578  0.0073  0.0467  0.046  0.7166  0.17
Rosenthal 1931b   70  0.5353  0.0074  0.0475  0.045  0.7173  0.17
Rosenthal 1931c   53  0.6069  0.0058  0.0562  0.055  0.8159  0.20
Rosenthal 1931d   69  0.5379  0.0072  0.0383  0.036  0.7085  0.14
Rossi 2007   77  0.5189  0.0078  0.0388  0.033  0.6782  0.14
Rubinstein 1939   32  0.6947  0.0031  0.0931  0.391  0.8231  0.57
Rubinstein 1952   10  0.7523  0.0115  0.1614  0.682  0.8415  0.76
Rubinstein 1966   3  0.7812  0.015  0.175  0.771  0.895  0.83
Schilhawsky 1960   37  0.6736  0.0032  0.0743  0.171  0.8243  0.37
Shebanova 2002   40  0.6574  0.0047  0.0850  0.081  0.8050  0.25
Smith 1975   41  0.6544  0.0051  0.0947  0.091  0.7947  0.27
Sokolov 2002   50  0.6261  0.0057  0.0754  0.071  0.8552  0.24
Sztompka 1959   49  0.6365  0.0050  0.1046  0.101  0.8146  0.28
Tomsic 1995   51  0.6133  0.0059  0.0656  0.062  0.7156  0.21
Uninsky 1932   71  0.5381  0.0064  0.0469  0.041  0.7764  0.18
Uninsky 1971   33  0.6862  0.0037  0.0836  0.311  0.8635  0.52
Wasowski 1980   35  0.6871  0.0038  0.1035  0.321  0.8236  0.51
Zak 1937   26  0.7148  0.0035  0.0833  0.352  0.8333  0.54
Zak 1951   19  0.7240  0.0028  0.1027  0.452  0.8626  0.62
Average   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 1   90  -0.0982  0.0091  0.0191  0.0181  0.0291  0.01
Random 2   89  0.0090  0.0089  0.0190  0.0159  0.0389  0.02
Random 3   91  -0.1091  0.0090  0.0189  0.0167  0.0390  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).