Average

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   4  0.8612  0.017  0.134  0.621  0.774  0.69
Anderszewski 2003   39  0.7732  0.0045  0.0542  0.101  0.5947  0.24
Ashkenazy 1981   18  0.8131  0.008  0.1110  0.511  0.7512  0.62
Bacha 2000   59  0.7066  0.0061  0.0471  0.041  0.6954  0.17
Badura 1965   57  0.7052  0.0055  0.0455  0.042  0.6163  0.16
Barbosa 1983   72  0.6451  0.0062  0.0457  0.042  0.6956  0.17
Biret 1990   13  0.8255  0.0022  0.0824  0.351  0.7821  0.52
Blet 2003   27  0.8072  0.0046  0.0651  0.061  0.7051  0.20
Block 1995   68  0.6676  0.0063  0.0553  0.051  0.6252  0.18
Blumental 1952   73  0.6473  0.0058  0.0466  0.044  0.4378  0.13
Boshniakovich 1969   34  0.7964  0.0037  0.0639  0.151  0.6939  0.32
Brailowsky 1960   43  0.7656  0.0064  0.0467  0.041  0.6457  0.16
Bunin 1987   62  0.6977  0.0070  0.0470  0.045  0.5471  0.15
Bunin 1987b   63  0.6881  0.0069  0.0469  0.046  0.5466  0.15
Chiu 1999   60  0.6965  0.0054  0.0460  0.041  0.6955  0.17
Cohen 1997   88  0.4639  0.0088  0.0461  0.0414  0.3388  0.11
Cortot 1951   42  0.7684  0.0056  0.0554  0.053  0.6853  0.18
Csalog 1996   83  0.5682  0.0082  0.0387  0.0314  0.4287  0.11
Czerny 1949   26  0.8027  0.0127  0.0616  0.411  0.7516  0.55
Czerny 1990   3  0.8813  0.015  0.125  0.591  0.776  0.67
Duchoud 2007   48  0.7449  0.0052  0.0464  0.043  0.6262  0.16
Ezaki 2006   2  0.893  0.043  0.163  0.631  0.832  0.72
Falvay 1989   53  0.7338  0.0042  0.0541  0.119  0.5642  0.25
Farrell 1958   35  0.7843  0.0047  0.0750  0.071  0.6749  0.22
Ferenczy 1958   54  0.7224  0.0159  0.0552  0.056  0.4960  0.16
Fliere 1977   1  0.921  0.461  0.451  0.751  0.871  0.81
Fou 1978   36  0.7816  0.0130  0.0829  0.311  0.6629  0.45
Francois 1956   38  0.7754  0.0038  0.0535  0.202  0.6835  0.37
Friedman 1923   87  0.5190  0.0084  0.0386  0.0312  0.4983  0.12
Friedman 1923b   85  0.5161  0.0083  0.0385  0.0311  0.4982  0.12
Friedman 1930   76  0.6358  0.0072  0.0473  0.043  0.5969  0.15
Garcia 2007   69  0.6687  0.0068  0.0476  0.043  0.5770  0.15
Garcia 2007b   84  0.5485  0.0077  0.0475  0.042  0.5574  0.15
Gierzod 1998   7  0.859  0.0210  0.129  0.531  0.779  0.64
Gornostaeva 1994   23  0.8041  0.0039  0.0637  0.171  0.7837  0.36
Groot 1988   32  0.7922  0.0129  0.0730  0.301  0.7228  0.46
Harasiewicz 1955   41  0.762  0.094  0.146  0.591  0.757  0.67
Hatto 1993   70  0.6621  0.0150  0.0946  0.093  0.6745  0.25
Hatto 1997   56  0.7129  0.0033  0.0736  0.193  0.6936  0.36
Horowitz 1949   51  0.7367  0.0066  0.0456  0.045  0.6259  0.16
Indjic 1988   65  0.6834  0.0049  0.0848  0.083  0.7146  0.24
Kapell 1951   20  0.8111  0.0113  0.1114  0.471  0.7214  0.58
Kissin 1993   16  0.8250  0.0032  0.0726  0.343  0.7124  0.49
Kushner 1989   5  0.8614  0.0111  0.1115  0.431  0.7913  0.58
Luisada 1991   22  0.818  0.0215  0.0917  0.381  0.7318  0.53
Lushtak 2004   24  0.8040  0.0012  0.0911  0.511  0.7611  0.62
Malcuzynski 1961   37  0.7842  0.0044  0.0445  0.091  0.7144  0.25
Magaloff 1978   29  0.794  0.0417  0.0832  0.251  0.7332  0.43
Magin 1975   47  0.7569  0.0048  0.0947  0.091  0.6148  0.23
Michalowski 1933   79  0.6278  0.0065  0.0474  0.044  0.5368  0.15
Milkina 1970   14  0.8219  0.0131  0.0823  0.351  0.7522  0.51
Mohovich 1999   8  0.8517  0.0114  0.1112  0.501  0.7910  0.63
Moravec 1969   64  0.6848  0.0078  0.0377  0.034  0.5777  0.13
Morozova 2008   31  0.7930  0.0024  0.0718  0.381  0.7320  0.53
Neighaus 1950   6  0.855  0.042  0.142  0.641  0.803  0.72
Niedzielski 1931   61  0.6923  0.0157  0.0463  0.044  0.5865  0.15
Ohlsson 1999   11  0.8325  0.0119  0.0722  0.351  0.6427  0.47
Osinska 1989   9  0.8437  0.0021  0.0820  0.371  0.7719  0.53
Pachmann 1927   74  0.6474  0.0085  0.0380  0.038  0.4981  0.12
Paderewski 1930   45  0.7568  0.0060  0.0459  0.041  0.6067  0.15
Perlemuter 1992   28  0.8059  0.0026  0.0827  0.321  0.7226  0.48
Pierdomenico 2008   71  0.6575  0.0074  0.0379  0.033  0.5279  0.12
Poblocka 1999   25  0.8045  0.0018  0.0728  0.311  0.6331  0.44
Rabcewiczowa 1932   46  0.7557  0.0043  0.0544  0.102  0.6443  0.25
Rachmaninoff 1923   40  0.7746  0.0028  0.0725  0.341  0.7023  0.49
Rangell 2001   75  0.6326  0.0167  0.0468  0.041  0.5672  0.15
Richter 1976   67  0.6744  0.0076  0.0381  0.039  0.4880  0.12
Rosen 1989   19  0.816  0.0323  0.0919  0.381  0.7717  0.54
Rosenthal 1930   58  0.7086  0.0071  0.0378  0.035  0.6875  0.14
Rosenthal 1931   80  0.6147  0.0079  0.0288  0.026  0.6386  0.11
Rosenthal 1931b   81  0.6188  0.0081  0.0458  0.046  0.5973  0.15
Rosenthal 1931c   66  0.6762  0.0075  0.0472  0.046  0.6764  0.16
Rosenthal 1931d   77  0.6270  0.0080  0.0383  0.036  0.6376  0.14
Rossi 2007   86  0.5180  0.0087  0.0382  0.0312  0.4084  0.11
Rubinstein 1939   82  0.5653  0.0086  0.0384  0.0312  0.3885  0.11
Rubinstein 1952   78  0.6210  0.0241  0.0540  0.1415  0.5240  0.27
Rubinstein 1966   49  0.7415  0.0134  0.0638  0.164  0.6738  0.33
Schilhawsky 1960   30  0.7936  0.0025  0.0821  0.361  0.6625  0.49
Shebanova 2002   17  0.8228  0.0136  0.0833  0.211  0.7133  0.39
Smith 1975   10  0.837  0.029  0.108  0.541  0.825  0.67
Sokolov 2002   33  0.7960  0.0035  0.0634  0.201  0.7434  0.38
Sztompka 1959   12  0.8220  0.0120  0.0731  0.281  0.7230  0.45
Tomsic 1995   55  0.7279  0.0073  0.0462  0.046  0.6258  0.16
Uninsky 1932   52  0.7371  0.0053  0.0465  0.043  0.6561  0.16
Uninsky 1971   50  0.7463  0.0051  0.0749  0.072  0.6250  0.21
Wasowski 1980   44  0.7635  0.0040  0.0543  0.101  0.6741  0.26
Zak 1937   15  0.8233  0.0016  0.1013  0.482  0.6915  0.58
Zak 1951   21  0.8118  0.016  0.117  0.562  0.768  0.65
Average   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 1   91  -0.1891  0.0091  0.0191  0.0176  0.0291  0.01
Random 2   90  -0.1183  0.0089  0.0289  0.0275  0.0390  0.02
Random 3   89  -0.0689  0.0090  0.0290  0.0268  0.0489  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).