Boshniakovich 1969

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   5  0.796  0.0311  0.149  0.5516  0.4019  0.47
Anderszewski 2003   16  0.7629  0.0024  0.0928  0.3418  0.2930  0.31
Ashkenazy 1981   51  0.6516  0.0133  0.1030  0.3136  0.1836  0.24
Bacha 2000   75  0.4459  0.0073  0.0381  0.0369  0.0478  0.03
Badura 1965   11  0.7737  0.007  0.1110  0.542  0.621  0.58
Barbosa 1983   84  0.3431  0.0077  0.0474  0.0470  0.0473  0.04
Biret 1990   63  0.5714  0.0154  0.0652  0.0660  0.0466  0.05
Blet 2003   41  0.6764  0.0045  0.0564  0.0535  0.1750  0.09
Block 1995   39  0.6777  0.0023  0.0833  0.2511  0.3532  0.30
Blumental 1952   74  0.4649  0.0066  0.0471  0.0443  0.0860  0.06
Boshniakovich 1969   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Brailowsky 1960   67  0.5379  0.0072  0.0376  0.0377  0.0379  0.03
Bunin 1987   55  0.6160  0.0038  0.0741  0.188  0.5033  0.30
Bunin 1987b   56  0.6061  0.0037  0.0739  0.198  0.5029  0.31
Chiu 1999   72  0.4770  0.0067  0.0563  0.0548  0.0469  0.04
Cohen 1997   87  0.2165  0.0082  0.0285  0.0270  0.0389  0.02
Cortot 1951   38  0.6744  0.0049  0.0745  0.0726  0.3043  0.14
Csalog 1996   82  0.3662  0.0078  0.0473  0.0485  0.0283  0.03
Czerny 1949   15  0.7642  0.009  0.1019  0.4724  0.4420  0.45
Czerny 1990   50  0.6666  0.0060  0.0568  0.0544  0.0956  0.07
Duchoud 2007   59  0.5926  0.0150  0.0554  0.0513  0.3544  0.13
Ezaki 2006   40  0.6784  0.0053  0.0653  0.0647  0.0561  0.05
Falvay 1989   83  0.3674  0.0084  0.0286  0.0266  0.0580  0.03
Farrell 1958   69  0.5257  0.0068  0.0747  0.0765  0.0463  0.05
Ferenczy 1958   53  0.6467  0.0063  0.0651  0.0646  0.0759  0.06
Fliere 1977   1  0.829  0.035  0.116  0.5713  0.4112  0.48
Fou 1978   47  0.6680  0.0044  0.0743  0.1433  0.1838  0.16
Francois 1956   57  0.6054  0.0064  0.0560  0.0563  0.0477  0.04
Friedman 1923   34  0.6869  0.0032  0.0825  0.3719  0.4625  0.41
Friedman 1923b   36  0.6875  0.0030  0.0824  0.3820  0.4622  0.42
Friedman 1930   24  0.7219  0.0129  0.0726  0.3617  0.4723  0.41
Garcia 2007   35  0.6851  0.0047  0.0555  0.0543  0.1353  0.08
Garcia 2007b   48  0.6687  0.0042  0.0740  0.1839  0.1540  0.16
Gierzod 1998   3  0.815  0.044  0.134  0.5811  0.485  0.53
Gornostaeva 1994   25  0.728  0.0331  0.0735  0.2214  0.3334  0.27
Groot 1988   62  0.5736  0.0059  0.0561  0.0550  0.0667  0.05
Harasiewicz 1955   4  0.801  0.251  0.241  0.624  0.532  0.57
Hatto 1993   37  0.6730  0.0019  0.1612  0.5410  0.508  0.52
Hatto 1997   30  0.6932  0.0018  0.1013  0.548  0.507  0.52
Horowitz 1949   14  0.7658  0.0021  0.1021  0.457  0.5215  0.48
Indjic 1988   29  0.7011  0.0313  0.1011  0.549  0.506  0.52
Kapell 1951   49  0.6653  0.0036  0.0834  0.2342  0.0842  0.14
Kissin 1993   6  0.7912  0.0212  0.1815  0.5215  0.4417  0.48
Kushner 1989   31  0.6933  0.0048  0.0649  0.0646  0.0757  0.06
Luisada 1991   43  0.6739  0.0041  0.0742  0.1760  0.0548  0.09
Lushtak 2004   58  0.5938  0.0056  0.0566  0.0540  0.1254  0.08
Malcuzynski 1961   28  0.707  0.0328  0.0732  0.255  0.4628  0.34
Magaloff 1978   70  0.5140  0.0070  0.0557  0.0558  0.0562  0.05
Magin 1975   18  0.7528  0.0026  0.1029  0.3434  0.2035  0.26
Michalowski 1933   9  0.7823  0.0115  0.0720  0.466  0.5410  0.50
Milkina 1970   42  0.6734  0.0051  0.0567  0.0549  0.0564  0.05
Mohovich 1999   61  0.5956  0.0062  0.0558  0.0562  0.0565  0.05
Moravec 1969   85  0.3171  0.0087  0.0383  0.0382  0.0287  0.02
Morozova 2008   33  0.6963  0.0034  0.0831  0.2835  0.1937  0.23
Neighaus 1950   2  0.813  0.102  0.183  0.589  0.523  0.55
Niedzielski 1931   54  0.6327  0.0057  0.0559  0.0573  0.0372  0.04
Ohlsson 1999   26  0.7143  0.0022  0.1023  0.4219  0.3826  0.40
Osinska 1989   23  0.7250  0.0039  0.0638  0.2065  0.0449  0.09
Pachmann 1927   21  0.7313  0.0246  0.0565  0.053  0.5139  0.16
Paderewski 1930   27  0.7020  0.0135  0.0837  0.219  0.4431  0.30
Perlemuter 1992   46  0.6641  0.0043  0.0744  0.1344  0.1046  0.11
Pierdomenico 2008   65  0.5448  0.0065  0.0569  0.0542  0.1352  0.08
Poblocka 1999   8  0.7835  0.008  0.108  0.5514  0.479  0.51
Rabcewiczowa 1932   71  0.5083  0.0074  0.0377  0.0379  0.0381  0.03
Rachmaninoff 1923   60  0.5981  0.0061  0.0470  0.0461  0.0470  0.04
Rangell 2001   68  0.5325  0.0158  0.0472  0.0411  0.4045  0.13
Richter 1976   7  0.784  0.076  0.1218  0.474  0.624  0.54
Rosen 1989   44  0.6785  0.0052  0.0748  0.0740  0.1151  0.09
Rosenthal 1930   64  0.5476  0.0069  0.0746  0.0732  0.1347  0.10
Rosenthal 1931   80  0.3888  0.0086  0.0378  0.0386  0.0382  0.03
Rosenthal 1931b   79  0.3872  0.0083  0.0384  0.0382  0.0384  0.03
Rosenthal 1931c   78  0.4086  0.0080  0.0380  0.0379  0.0385  0.03
Rosenthal 1931d   81  0.3889  0.0085  0.0287  0.0280  0.0390  0.02
Rossi 2007   77  0.4117  0.0179  0.0382  0.0359  0.0568  0.04
Rubinstein 1939   76  0.4468  0.0076  0.0556  0.0578  0.0471  0.04
Rubinstein 1952   86  0.2555  0.0081  0.0379  0.0387  0.0386  0.03
Rubinstein 1966   73  0.4646  0.0075  0.0475  0.0477  0.0474  0.04
Schilhawsky 1960   17  0.7518  0.0120  0.0917  0.4914  0.4818  0.48
Shebanova 2002   13  0.7615  0.0114  0.0916  0.5124  0.3521  0.42
Smith 1975   45  0.6621  0.0155  0.0650  0.0640  0.0955  0.07
Sokolov 2002   52  0.6422  0.0125  0.0827  0.358  0.4127  0.38
Sztompka 1959   10  0.7752  0.0010  0.102  0.5817  0.4016  0.48
Tomsic 1995   66  0.5345  0.0071  0.0562  0.0550  0.0758  0.06
Uninsky 1932   22  0.7378  0.0027  0.1122  0.4422  0.3824  0.41
Uninsky 1971   12  0.772  0.113  0.1314  0.538  0.4711  0.50
Wasowski 1980   32  0.6947  0.0040  0.0636  0.2141  0.1041  0.14
Zak 1937   19  0.7410  0.0317  0.105  0.5711  0.4013  0.48
Zak 1951   20  0.7324  0.0116  0.087  0.5710  0.4014  0.48
Random 1   90  -0.2382  0.0088  0.0188  0.0131  0.1875  0.04
Random 2   89  -0.1790  0.0089  0.0189  0.0162  0.0388  0.02
Random 3   88  -0.1173  0.0090  0.0190  0.0136  0.1876  0.04

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).