Michalowski 1933

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   3  0.355  0.048  0.146  0.5566  0.0411  0.15
Anderszewski 2003   62  0.1474  0.0057  0.0454  0.0484  0.0260  0.03
Ashkenazy 1981   26  0.2411  0.0219  0.0821  0.3841  0.133  0.22
Bacha 2000   76  0.1375  0.0075  0.0283  0.0287  0.0274  0.02
Badura 1965   25  0.246  0.0424  0.0730  0.2285  0.0236  0.07
Barbosa 1983   70  0.1364  0.0077  0.0276  0.0286  0.0280  0.02
Biret 1990   15  0.273  0.102  0.215  0.5777  0.0322  0.13
Blet 2003   2  0.371  0.261  0.2610  0.5235  0.162  0.29
Block 1995   88  0.0581  0.0088  0.0284  0.0286  0.0284  0.02
Blumental 1952   51  0.1853  0.0052  0.0449  0.0484  0.0365  0.03
Boshniakovich 1969   7  0.3229  0.0010  0.1111  0.4969  0.0415  0.14
Brailowsky 1960   63  0.1482  0.0072  0.0375  0.0383  0.0352  0.03
Bunin 1987   71  0.1368  0.0081  0.0280  0.0281  0.0387  0.02
Bunin 1987b   69  0.1388  0.0082  0.0374  0.0378  0.0355  0.03
Chiu 1999   65  0.1414  0.0143  0.0442  0.1078  0.0343  0.05
Cohen 1997   75  0.1383  0.0069  0.0366  0.0383  0.0366  0.03
Cortot 1951   64  0.1444  0.0055  0.0369  0.0369  0.0370  0.03
Csalog 1996   73  0.1384  0.0044  0.0444  0.0983  0.0247  0.04
Czerny 1949   18  0.2555  0.0018  0.0816  0.4367  0.0420  0.13
Czerny 1990   50  0.1885  0.0050  0.0365  0.0386  0.0367  0.03
Duchoud 2007   83  0.1059  0.0066  0.0360  0.0361  0.0548  0.04
Ezaki 2006   39  0.2170  0.0038  0.0537  0.1482  0.0338  0.06
Falvay 1989   47  0.1856  0.0059  0.0356  0.0386  0.0353  0.03
Farrell 1958   48  0.1860  0.0048  0.0455  0.0478  0.0446  0.04
Ferenczy 1958   87  0.0871  0.0089  0.0189  0.0187  0.0290  0.01
Fliere 1977   17  0.269  0.0220  0.0719  0.4079  0.0417  0.13
Fou 1978   37  0.2135  0.0049  0.0362  0.0386  0.0278  0.02
Francois 1956   9  0.297  0.036  0.149  0.5251  0.058  0.16
Friedman 1923   85  0.1043  0.0047  0.0447  0.0480  0.0450  0.04
Friedman 1923b   52  0.1849  0.0045  0.0357  0.0386  0.0288  0.02
Friedman 1930   40  0.2150  0.0037  0.0536  0.1478  0.0340  0.06
Garcia 2007   79  0.1131  0.0071  0.0373  0.0370  0.0462  0.03
Garcia 2007b   59  0.1561  0.0064  0.0363  0.0375  0.0473  0.03
Gierzod 1998   21  0.2430  0.0029  0.0728  0.2376  0.0331  0.08
Gornostaeva 1994   29  0.2357  0.0026  0.1025  0.2970  0.0327  0.09
Groot 1988   54  0.1839  0.0068  0.0451  0.0487  0.0369  0.03
Harasiewicz 1955   35  0.2232  0.0046  0.0446  0.0477  0.0371  0.03
Hatto 1993   81  0.1186  0.0085  0.0281  0.0288  0.0289  0.02
Hatto 1997   77  0.1289  0.0084  0.0285  0.0288  0.0382  0.02
Horowitz 1949   66  0.1440  0.0074  0.0278  0.0272  0.0456  0.03
Indjic 1988   67  0.1476  0.0078  0.0367  0.0386  0.0359  0.03
Kapell 1951   60  0.1558  0.0058  0.0545  0.0584  0.0254  0.03
Kissin 1993   34  0.2210  0.0212  0.1122  0.3873  0.0423  0.12
Kushner 1989   4  0.334  0.073  0.282  0.6378  0.0312  0.14
Luisada 1991   14  0.2819  0.0122  0.0918  0.4063  0.0416  0.13
Lushtak 2004   68  0.1377  0.0073  0.0364  0.0384  0.0364  0.03
Malcuzynski 1961   28  0.2354  0.0036  0.0633  0.2088  0.0239  0.06
Magaloff 1978   24  0.2425  0.0023  0.0923  0.3284  0.0230  0.08
Magin 1975   1  0.378  0.035  0.123  0.6262  0.045  0.16
Michalowski 1933   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Milkina 1970   8  0.3120  0.017  0.154  0.6171  0.046  0.16
Mohovich 1999   84  0.1065  0.0080  0.0282  0.0286  0.0285  0.02
Moravec 1969   58  0.1646  0.0062  0.0371  0.0380  0.0351  0.03
Morozova 2008   11  0.2824  0.0111  0.108  0.5252  0.064  0.18
Neighaus 1950   41  0.2117  0.0141  0.0439  0.1387  0.0245  0.05
Niedzielski 1931   74  0.1338  0.0079  0.0279  0.0286  0.0277  0.02
Ohlsson 1999   46  0.1969  0.0051  0.0448  0.0485  0.0257  0.03
Osinska 1989   20  0.2562  0.0035  0.0529  0.2387  0.0233  0.07
Pachmann 1927   23  0.2416  0.0127  0.0924  0.2946  0.0619  0.13
Paderewski 1930   6  0.3323  0.0116  0.0713  0.4628  0.211  0.31
Perlemuter 1992   32  0.2327  0.0025  0.0731  0.2180  0.0328  0.08
Pierdomenico 2008   10  0.2912  0.0217  0.0814  0.4553  0.059  0.15
Poblocka 1999   82  0.1052  0.0086  0.0287  0.0288  0.0276  0.02
Rabcewiczowa 1932   22  0.2413  0.0221  0.0917  0.4385  0.0226  0.09
Rachmaninoff 1923   38  0.2126  0.0039  0.0538  0.1369  0.0434  0.07
Rangell 2001   72  0.1345  0.0031  0.0740  0.1277  0.0437  0.07
Richter 1976   16  0.2618  0.0113  0.097  0.5351  0.0410  0.15
Rosen 1989   13  0.2847  0.0034  0.0532  0.2084  0.0332  0.08
Rosenthal 1930   45  0.1937  0.0063  0.0368  0.0361  0.0463  0.03
Rosenthal 1931   56  0.1763  0.0083  0.0286  0.0282  0.0281  0.02
Rosenthal 1931b   55  0.1733  0.0061  0.0452  0.0459  0.0549  0.04
Rosenthal 1931c   44  0.2066  0.0056  0.0359  0.0368  0.0472  0.03
Rosenthal 1931d   36  0.2151  0.0060  0.0361  0.0363  0.0468  0.03
Rossi 2007   19  0.2521  0.0130  0.0627  0.2664  0.0425  0.10
Rubinstein 1939   57  0.1715  0.0133  0.0735  0.1584  0.0335  0.07
Rubinstein 1952   43  0.2067  0.0032  0.0634  0.1885  0.0242  0.06
Rubinstein 1966   53  0.1887  0.0070  0.0372  0.0381  0.0361  0.03
Schilhawsky 1960   5  0.332  0.204  0.241  0.6367  0.047  0.16
Shebanova 2002   78  0.1172  0.0076  0.0277  0.0287  0.0383  0.02
Smith 1975   12  0.2842  0.009  0.1420  0.4068  0.0418  0.13
Sokolov 2002   42  0.2178  0.0028  0.0826  0.2980  0.0229  0.08
Sztompka 1959   33  0.2273  0.0042  0.0543  0.0981  0.0344  0.05
Tomsic 1995   80  0.1179  0.0087  0.0288  0.0276  0.0379  0.02
Uninsky 1932   30  0.2336  0.0040  0.0541  0.1178  0.0341  0.06
Uninsky 1971   49  0.1880  0.0067  0.0450  0.0481  0.0358  0.03
Wasowski 1980   61  0.1490  0.0065  0.0370  0.0386  0.0275  0.02
Zak 1937   27  0.2341  0.0014  0.0712  0.4775  0.0413  0.14
Zak 1951   31  0.2334  0.0015  0.1015  0.4483  0.0324  0.11
Random 1   89  0.0122  0.0154  0.0358  0.031  0.5621  0.13
Random 2   86  0.0928  0.0053  0.0453  0.048  0.4614  0.14
Random 3   90  -0.0648  0.0090  0.0190  0.0169  0.0386  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).